BUGSPOTTER

Request Free Demo
Request Free Demo
Request Free Demo

Your 2023 Most Common important Interview Questions and Answers for SQL (Data Science)

SQL

1 What is foreign key and primary key
2 Why foreign key needed in SQL
3 what is index in SQL
4 what view and table and why view is needed in SQL
5 what is metadata
6 what is dimensional table
7 what is star schema
8 what is where and group by
9 what is DDL and DML
10 AWS glue and athena

1.how to deploy python code on aws
Ans ::The AWS SDK for Python (Boto3) enables you to use Python code to interact with AWS services like Amazon S3

2. explain the architechture of pyspark
and–In your master node , you have the driver program, which drives your application.

Inside the driver program, the first thing you do is, you create a Spark Context. Assume that the Spark context is a gateway to all the Spark functionalities.

Now, this Spark context works with the cluster manager to manage various jobs. The driver program & Spark context takes care of the job execution within the cluster. A job is split into multiple tasks which are distributed over the worker node.

If you increase the number of workers, then you can divide jobs into more partitions and execute them parallelly over multiple systems. It will be a lot faster.

With the increase in the number of workers, memory size will also increase & you can cache the jobs to execute it faster.

3.Write a program for find largest second number from list

l =[10,20,30,30,30,40,4,4,4,4]
max1 = l[0]
smax = l[0]
for i in l:
if i>max1:
smax = max1
max1 = i
elif smax<i and i!=max1:
smax = i
OR

def secondmax(l):
list1 = [i for i in l if i < max(l)]
return max(list1)

secondmax([10,20,30,30,30,4,4,4,4,4])

4.Write a query to fetch details of employees whose EmpLname ends with an alphabet ‘A’ and contains five alphabets.

Select * from employee
Where ename like ‘%a’ and CHAR_LENGTH(ename) = 5;

5.What id versioning in s3?

You can use S3 Versioning to keep multiple versions of an object in one bucket and enable you to restore objects that are accidentally deleted or overwritten. For example, if you delete an object, instead of removing it permanently, Amazon S3 inserts a delete marker, which becomes the current object version.

6.How to create crawler?

To create a crawler that reads files stored on Amazon S3
On the AWS Glue service console, on the left-side menu, choose Crawlers. On the Crawlers page, choose Add crawler. This starts a series of pages that prompt you for the crawler details. In the Crawler name field, enter Flights Data Crawler , and choose Next.
Submit info.

7.How to create cluster?

From the navigation bar, select the Region to use.
In the navigation pane, choose Clusters.
On the Clusters page, choose Create Cluster.
For Select cluster compatibility, choose one of the following options and then choose Next Step

8. how to calculate even and odd records form table?

Query to find even record:
SELECT * FROM EMPLOYEE
WHERE id IN(SELECT id FROM EMPLOYEE WHERE id%2 = 0)

9.Query to find odd record:

SELECT * FROM EMPLOYEE
WHERE id IN(SELECT id FROM EMPLOYEE WHERE id%2 <> 0)

10.Write a query to retrieve duplicate records from a table?

SELECT OrderID, COUNT(OrderID)
FROM Orders
GROUP BY OrderID
HAVING COUNT(OrderID) >1

11.what u did in athena?

Athena helps you analyze unstructured, semi-structured, and structured data stored in Amazon S3. Examples include CSV, JSON, or columnar data formats such as Apache Parquet and Apache ORC. You can use Athena to run ad-hoc queries using ANSI SQL, without the need to aggregate or load the data into Athena.
Basically we do data validation by using Athena

12.what is ETL?

ETL stands for extract, transform, and load and is a traditionally accepted way for organizations to combine data from multiple systems into a single database, data store, data warehouse, or data lake
OR
ETL->
Extraction: Data is taken from one or more sources or systems. The extraction locates and
identifies relevant data, then prepares it for processing or transformation. Extraction allows
many different kinds of data to be combined and ultimately mined for business intelligence.
➢ Transformation: Once the data has been successfully extracted, it is ready to be
refined. During the transformation phase, data is sorted, organized, and cleansed.
For example, duplicate entries will be deleted, missing values removed or enriched,
and audits will be performed to produce data that is reliable, consistent, and usable.
➢ Loading: The transformed, high quality data is then delivered to a single, unified
target location for storage and analysis.

13.Fetch 5th highest the salary without limit and top

select * from(select ename, salary, dense_rank() over(order by salary desc)r from Emp) where r=5

14.Write query for drop duplicate records
Select *, count(id)
From table_name
Group by id
Having count(id)=1

15.Now, assume that you have two tables: “employees” and “salaries”.
The employee table has basic information: ID, first name, last name, email address, address etc.
Salaries table has employee-id and salary. Query to be executed is the same: “List names of all the employees
whose salary is greater than or equal to Rita’s salary“.

Ans : select e.first_name from employee e
inner join salary s
on e.id = s.id
where s.salary > = (select s.salary from employee e
inner join salaries s
on e.id = s.id and e.first_name = ‘reeta’);

16.How will u convert pyspark dataframe into pandas dataframe?

pandasDF = pysparkDF.toPandas()
print(pandasDF)

 

5/5
Best Data Analyst Course In Mumbai
December 2, 2024 No Comments

Best Data Analyst Course In Mumbai With Placement 100% Placement Assistance | Live Online Sessions 3 Month Personalized Live Data Analyst Training is taught by industry experts in a comprehensive & question-oriented format. Enroll Before: 07 December, 2024 Download Broucher Apply now 2000+ Students Trained 100% Placement Assistance 07 December, 2024 Start Date 0% EMI Available 7:30 AM – 9:30 AM Lecture Timings ( IST ) Key Highlights Of The Data Analyst Course 100+ Hours Of Live Class 50+ Hours of Videos 1-on-1 Mentoring Sessions 20+ Industry Tools Mastery In-Class Live Presentations 3+ Live Projects & Practice Assignments 100% Placement Assistance Resume & Interview Training Get familiar with our online Data Anaylst course syllabus. Download Broucher Syllabus for Data Analyst Course Our hybrid online Data Analyst  course is designed to teach students the basics to the advanced level concepts of Data Analyst with practice assignments and offline in-class projects which helps them to get placed in MNC’s. Term 1 In this term, you will learn how to ace Data Analytics Introduction to Data Analysis Overview of Data Analytics Role of a Data Analyst Introduction to Data-Driven Decision Making Tools and Technologies used in Data Analysis Term 2 In this term, you will learn how to ace Data Analytics Power BI Intro to Power BI Data Acquisition & Transform. Modeling Basics Visualization Techniques Formatting & Custom Visuals  Advanced DAX              Power Query M Language Power BI Service               Data Refresh and Gateways     Power BI Administration      Dataflow                   Paginated Reports              Performance Optimization       Power BI Embedded          Final Project and Review  Term 3 In this term, you will learn how to ace Data Analytics DCDW Data Collection And Data Wrangling Data Sources and Types Data Collection Techniques Data Cleaning and Preprocessing Handling Missing Data Data Transformation and Normalization Outlier Detection and Treatment Introduction to Data Wrangling Tools (e.g., Excel, SQL, Python) DSDV Descriptive Statistics and Data Visualization Measures of Central Tendency (Mean, Median, Mode) Measures of Dispersion (Range, Variance, Standard Deviation) Data Distribution (Normal, Skewness, Kurtosis) Introduction to Data Visualization Charts and Graphs (Bar, Pie, Line, Histogram) Dashboarding (using Power BI, Tableau) Data Visualization Best Practices Term 4 In this term, you will learn how to ace Data Analytics Data Analysis with Excel Excel Basics: Formulas, Functions, and Pivot Tables Data Analysis Tools in Excel Performing Statistical Analysis in Excel Creating Data Models in Excel Advanced Excel Functions (VLOOKUP, INDEX-MATCH) Term 5 In this term, you will learn how to ace Data Analytics SQL for Data Analysis Introduction to Databases and SQL Basic SQL Queries SELECT, INSERT, UPDATE, DELETE SQL Joins and Subqueries Data Aggregation and Grouping Advanced SQL Functions (Window Functions, CTEs) SQL for Data Analysis: Case Studies Data Analysis with Python Introduction to Python Programming Python Libraries for Data Analysis (Pandas, NumPy, Matplotlib, Seaborn) Data Manipulation with Pandas DataFrames, Series, Indexing, and Filtering Exploratory Data Analysis (EDA) Descriptive Statistics, Correlation Analysis Data Visualization in Python Creating Visualizations with Matplotlib and Seaborn Statistical Analysis Probability Theory Hypothesis Testing t-tests, ANOVA, Chi-Square Test Regression Analysis Simple Linear Regression Multiple Regression Logistic Regression Introduction to Time Series Analysis Term 6 In this term, you will learn how to ace Data Analytics Data Storytelling and Reporting The Importance of Data Storytelling Techniques for Effective Data Communication Creating Reports and Dashboards Presenting Data Analysis Results to Stakeholders Capstone Project Real-World Data Analysis Project Problem Identification and Data Collection Data Cleaning and Analysis Visualization and Reporting Presentation of Findings Career Preparation Building a Data Analyst Portfolio Resume Writing and Interview Preparation Networking and Industry Best Practices Job Search Strategies and Career Pathway 0 + HOURS OF LIVE LEARNING 0 + Live Projects 0 + HOURS OF VIDEO LEARNING Download Detailed Course Syllabus & Trainer List Get Syllabus Join our comprehensive Data Analyst course and qualify for top industry roles, including: Power BI Developer Master the art of creating interactive dashboards and reports with Power BI. Gain the skills to transform raw data into meaningful insights. Become a key player in data-driven decision-making processes. Data Analyst Learn to analyze complex datasets, identify trends, and make data-driven recommendations. Develop expertise in tools like Excel, SQL, and Python for effective data analysis. Step into a role that is at the heart of business strategy and performance. MIS Analyst Specialize in managing and interpreting data to improve business efficiency. Use tools like Excel and SQL to generate and analyze reports for management. Become the go-to expert for management information systems in your organization. Process Excellence Analyst Focus on improving business processes through data analysis and optimization. Gain skills in identifying process bottlenecks and recommending solutions. Play a crucial role in enhancing productivity and driving organizational success. Get More about this  Download PDF Tools You’ll Master Mentors Shamli Python Trainer 4+ Years ITExperience4+ Years Teaching Experience Govind Chavan Project Trainer 5+ Years IT Experience5+Teaching Experience Rushikesh Deshmukh Digital Marketing 3+ Years IT Experience2+Teaching Experience Bharat Kale Manual Trainer 5+ Years IT Experience5+Teaching Experience Our Learners Work At Enroll Now and get 5% Off On Course Fees Bug Spotter Reviews https://www.youtube.com/watch?v=Kpv8ladIgIs&ab_channel=BugSpotter Introduction to Data Analysis Data Analysis is the process of examining raw data to uncover insights that inform decision-making. Analysts identify patterns, trends, and correlations to help organizations make data-driven choices. As data becomes more abundant, the ability to analyze it effectively is increasingly important. Why Data Analysis Matters Data is everywhere, from online purchases to social media activity. By analyzing it, businesses can: Understand customer behavior: Personalize services and products. Optimize operations: Improve efficiency and streamline processes. Predict trends: Forecast market shifts and customer actions. Data analysts transform this raw data into actionable insights that drive smart business decisions. Key Components of Data Analysis Data Collection: Gather data from internal and external sources like databases, surveys, and APIs. Data Cleaning: Remove errors, inconsistencies, and missing values to ensure reliable analysis. Data Analysis: Use statistical tools (Excel, SQL, Python, R) to identify patterns and trends. The Data Analysis Process Collect Data: Gather data from multiple sources. Clean and Prepare: Remove outliers and handle missing data.

Read More »
Best Data Analyst Course In Pune
December 2, 2024 No Comments

Best Data Analyst Course In Pune With Placement 100% Placement Assistance | Live Online Sessions 3 Month Personalized Live Data Analyst Training is taught by industry experts in a comprehensive & question-oriented format. Enroll Before: 07 December, 2024 Download Broucher Apply now 2000+ Students Trained 100% Placement Assistance 07 December, 2024 Start Date 0% EMI Available 7:30 AM – 9:30 AM Lecture Timings ( IST ) Key Highlights Of The Data Analyst Course 100+ Hours Of Live Class 50+ Hours of Videos 1-on-1 Mentoring Sessions 20+ Industry Tools Mastery In-Class Live Presentations 3+ Live Projects & Practice Assignments 100% Placement Assistance Resume & Interview Training Get familiar with our online Data Anaylst course syllabus. Download Broucher Syllabus for Data Analyst Course Our hybrid online Data Analyst  course is designed to teach students the basics to the advanced level concepts of Data Analyst with practice assignments and offline in-class projects which helps them to get placed in MNC’s. Term 1 In this term, you will learn how to ace Data Analytics Introduction to Data Analysis Overview of Data Analytics Role of a Data Analyst Introduction to Data-Driven Decision Making Tools and Technologies used in Data Analysis Term 2 In this term, you will learn how to ace Data Analytics Power BI Intro to Power BI Data Acquisition & Transform. Modeling Basics Visualization Techniques Formatting & Custom Visuals  Advanced DAX              Power Query M Language Power BI Service               Data Refresh and Gateways     Power BI Administration      Dataflow                   Paginated Reports              Performance Optimization       Power BI Embedded          Final Project and Review  Term 3 In this term, you will learn how to ace Data Analytics DCDW Data Collection And Data Wrangling Data Sources and Types Data Collection Techniques Data Cleaning and Preprocessing Handling Missing Data Data Transformation and Normalization Outlier Detection and Treatment Introduction to Data Wrangling Tools (e.g., Excel, SQL, Python) DSDV Descriptive Statistics and Data Visualization Measures of Central Tendency (Mean, Median, Mode) Measures of Dispersion (Range, Variance, Standard Deviation) Data Distribution (Normal, Skewness, Kurtosis) Introduction to Data Visualization Charts and Graphs (Bar, Pie, Line, Histogram) Dashboarding (using Power BI, Tableau) Data Visualization Best Practices Term 4 In this term, you will learn how to ace Data Analytics Data Analysis with Excel Excel Basics: Formulas, Functions, and Pivot Tables Data Analysis Tools in Excel Performing Statistical Analysis in Excel Creating Data Models in Excel Advanced Excel Functions (VLOOKUP, INDEX-MATCH) Term 5 In this term, you will learn how to ace Data Analytics SQL for Data Analysis Introduction to Databases and SQL Basic SQL Queries SELECT, INSERT, UPDATE, DELETE SQL Joins and Subqueries Data Aggregation and Grouping Advanced SQL Functions (Window Functions, CTEs) SQL for Data Analysis: Case Studies Data Analysis with Python Introduction to Python Programming Python Libraries for Data Analysis (Pandas, NumPy, Matplotlib, Seaborn) Data Manipulation with Pandas DataFrames, Series, Indexing, and Filtering Exploratory Data Analysis (EDA) Descriptive Statistics, Correlation Analysis Data Visualization in Python Creating Visualizations with Matplotlib and Seaborn Statistical Analysis Probability Theory Hypothesis Testing t-tests, ANOVA, Chi-Square Test Regression Analysis Simple Linear Regression Multiple Regression Logistic Regression Introduction to Time Series Analysis Term 6 In this term, you will learn how to ace Data Analytics Data Storytelling and Reporting The Importance of Data Storytelling Techniques for Effective Data Communication Creating Reports and Dashboards Presenting Data Analysis Results to Stakeholders Capstone Project Real-World Data Analysis Project Problem Identification and Data Collection Data Cleaning and Analysis Visualization and Reporting Presentation of Findings Career Preparation Building a Data Analyst Portfolio Resume Writing and Interview Preparation Networking and Industry Best Practices Job Search Strategies and Career Pathway 0 + HOURS OF LIVE LEARNING 0 + Live Projects 0 + HOURS OF VIDEO LEARNING Download Detailed Course Syllabus & Trainer List Get Syllabus Join our comprehensive Data Analyst course and qualify for top industry roles, including: Power BI Developer Master the art of creating interactive dashboards and reports with Power BI. Gain the skills to transform raw data into meaningful insights. Become a key player in data-driven decision-making processes. Data Analyst Learn to analyze complex datasets, identify trends, and make data-driven recommendations. Develop expertise in tools like Excel, SQL, and Python for effective data analysis. Step into a role that is at the heart of business strategy and performance. MIS Analyst Specialize in managing and interpreting data to improve business efficiency. Use tools like Excel and SQL to generate and analyze reports for management. Become the go-to expert for management information systems in your organization. Process Excellence Analyst Focus on improving business processes through data analysis and optimization. Gain skills in identifying process bottlenecks and recommending solutions. Play a crucial role in enhancing productivity and driving organizational success. Get More about this  Download PDF Tools You’ll Master Mentors Shamli Python Trainer 4+ Years ITExperience4+ Years Teaching Experience Govind Chavan Project Trainer 5+ Years IT Experience5+Teaching Experience Rushikesh Deshmukh Digital Marketing 3+ Years IT Experience2+Teaching Experience Bharat Kale Manual Trainer 5+ Years IT Experience5+Teaching Experience Our Learners Work At Enroll Now and get 5% Off On Course Fees Bug Spotter Reviews https://www.youtube.com/watch?v=Kpv8ladIgIs&ab_channel=BugSpotter Introduction to Data Analysis Data Analysis is the process of examining, cleaning, and modeling data to uncover useful insights that support decision-making. It’s like a detective using data to find patterns and trends that help businesses and organizations make informed choices. As data grows, data analysis becomes essential across industries to understand and leverage this information. Why Data Analysis Matters Data analysis is crucial because data is everywhere: from online purchases to social media interactions. By analyzing this data, businesses can: Understand customer preferences Improve products and services Predict trends and behaviors Data analysts play a key role in interpreting data and supporting data-driven decisions. Key Components of Data Analysis Data CollectionGathering data from various sources like databases, surveys, and websites. Data CleaningIdentifying and fixing errors, duplicates, and missing values in the raw data. Data AnalysisUsing statistical methods and tools (Excel, SQL, Python, or R) to identify patterns and insights. The Data Analysis Process Collect data Clean and prepare Analyze Create visualizations and reports Present

Read More »
Engineering Job Vacancies At Google
December 2, 2024 No Comments

Engineering Job vacancies at Google Engineering Job vacancies at Google Google is hiring candidates for the role of Engineering Analyst, AdSpam, Trust and Safety for the Hyderabad / Bengaluru locations.  Job Description Job Position: Engineering Analyst, AdSpam, Trust and Safety Job Location: Hyderabad / Bengaluru Salary Package:  Upto 12 LPA  – 18 LPA  Full/Part Time: Full Time Req ID: Education Level: Graduation Company Name: Google Required Education: Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience Required Experience: 1 year Required Skills: Experience in data management, metrics analysis, experiment design and automation. Experience with classification systems, ranking systems or similar. Salary Range: Upto INR 12 LPA – 18 LPA Area of Interest: Data Management Qualification Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent experience. 1 year of experience in data analysis, identifying trends, and summarizing data insights. 1 year of experience managing projects, defining project goals, and deliverables. Preferred Qualifications: Experience in data management, metrics analysis, and automation. Familiarity with classification and ranking systems. Experience with collecting, managing, and analyzing data from different sources. Knowledge of product policies. Ability to design training plans and communicate across different levels. Ability to turn insights into actionable business strategies.   About the Job About The Job: In this role, you’ll work with Google Developers and Product Managers globally to handle online safety issues and manage abuse and fraud cases. Google’s Trust & Safety team works hard to make the internet safer by fighting issues like malware, spam, and account hijacking. This team collaborates across Google to protect users, advertisers, and publishers in over 40 languages. Roles & Responsibilities Roles & Responsibilities: Analyze data using advanced methods to understand the impact of abuse on Android. Investigate fraud and spam, find vulnerabilities, and run experiments to prevent abuse. Work with engineers and stakeholders to improve processes, automate systems, and create anti-abuse tools. Identify gaps in defenses and develop scalable solutions for handling fraud on Android. Collaborate with Product, Engineering, and Trust & Safety teams to prevent abuse and improve policies. Apply Here Note:– Only shortlisted candidates will receive the call letter for further rounds Engineering Job Vacancies At Google Engineering Job vacancies at Google Engineering Job vacancies at Google… Read More Data Analyst Job Vacancies at HP Data Analyst Job Vacancies at HP  Data Analyst Job Vacancies… Read More Adani Group is hiring Back End Developers Adani Group is Hiring – Back End Developers Role Overview… Read More Infosys hiring Automation Test engineers Infosys hiring Automation Test Engineers Role: Automation Test EngineerIndustry Type: IT Services… Read More Latest Posts All Posts Software Testing Uncategorized React JS Interview Questions for experienced November 27, 2024 Software Testing interview questions for TCS November 26, 2024 What is Jenkins ? November 25, 2024 What is page object model in automation testing ? November 25, 2024 Selenium interview questions for Automation Testing November 25, 2024 What is Selenium ? November 25, 2024 Control statements in core Java November 25, 2024 HTTP Methods November 23, 2024 What is API testing and why it is important ? November 23, 2024 Load More End of Content.

Read More »
Data Analyst Job Vacancies at HP
December 2, 2024 1 Comment

Data Analyst Job Vacancies at HP  Data Analyst Job Vacancies At HP are as follows :  HP is hiring candidates for the role of Data Analyst for the Bangalore, Karnataka, India locations. Job Description Job Position                    :        Data AnalystJob Location                   :        Bangalore, Karnataka, IndiaSalary Package            :        Upto INR 14 LPA – 18 LPAFull/Part Time                :        Full TimeEducation Level            :        Graduation Company Name                     :    HP Required Education              :    BA/BS Preferred in computer Science , Computer engineering ,                                                                                            Mathematics Required Experience            :    Min of 3-5 yrs of experience in technical consulting , data analytics                                                                               and IT operations  Required Skills                          :    Power BI , Tableau  , AWS Quicksight , SQL , Python , etc  Salary Range                             :   Upto INR 14 LPA –  18 LPA  Area of Interest                        :   Data Management Qualifications :   Education: BA/BS in Computer Science, Computer Engineering, or Mathematics (preferred). Experience: 3-5 years in technical consulting, data analytics, or IT operations. Data Analysis: Ability to analyze large datasets for insights and automation. Tools: Proficient in BI and visualization tools (Power BI, Tableau, AWS Quicksight, SQL, Python). Communication: Strong presentation skills, able to engage senior IT leaders. OS Expertise: Extensive knowledge of Microsoft Windows, MacOS, and related applications. IT Management: Experience in workplace, network, and software management. Enterprise Projects: Familiar with Win10/11, O365 migrations, and IT transformations. IT Knowledge: Understanding of IT infrastructure, networking, applications, and ITIL methodology. Scripting: Familiar with PowerShell, Bash scripting. Learning: Quick to adopt new technologies independently. Environment: Comfortable in international, fast-paced teams. Preferred: Experience with digital employee experience platforms (e.g., Nexthink, VMware Workspace One), Scrum/Agile, and additional languages. Job Description & Responsibilities: We are seeking an experienced Data Analyst to support HP Proactive Insights Experience Management (PIXM) Services for strategic accounts. This role will focus on analyzing and solving employee experience issues for customers in collaboration with Technical Service Delivery Managers (TDMs) and Automation Engineers. Key Responsibilities: Analyze and benchmark customer digital experience scores to drive actionable insights. Influence IT business decisions through data analytics and business insights. Lead end-to-end data analysis projects, including requirements gathering, data modeling, validation, and visualization. Collaborate with customers to integrate data insights into IT operations and improve incident/problem management. Stay updated on new product features and technologies. Skills Required: Strong data analysis skills, experience with data visualization tools (Power BI, Tableau, etc.). Collaboration with cross-functional teams (TDMs, Professional Services, Customer Success). Ability to influence decisions with data-driven insights. Equal Opportunity Employer: HP, Inc. provides equal employment opportunities regardless of race, gender, age, disability, or other protected characteristics. Click here to Apply Latest Posts All Posts Software Testing Uncategorized React JS Interview Questions for experienced November 27, 2024 Software Testing interview questions for TCS November 26, 2024 What is Jenkins ? November 25, 2024 What is page object model in automation testing ? November 25, 2024 Selenium interview questions for Automation Testing November 25, 2024 What is Selenium ? November 25, 2024 Control statements in core Java November 25, 2024 HTTP Methods November 23, 2024 What is API testing and why it is important ? November 23, 2024 Load More End of Content.

Read More »
Adani Group is hiring Back End Developers
November 30, 2024 1 Comment

Adani Group is Hiring – Back End Developers Role Overview We are seeking a highly skilled Backend Developer to design, develop, and maintain scalable, high-performance backend systems that power our core applications. As part of the Engineering team, you will work on cutting-edge technologies and contribute to building robust backend architectures. This is a full-time, permanent position offering a unique opportunity to make a significant impact on our rapidly growing company. About Us : At Adani Group , we specialize in developing cutting-edge software products tailored for the finance and payment industries. We pride ourselves on building scalable, secure, and efficient systems that power businesses around the world. Join us to be part of an innovative, collaborative, and dynamic team! Required Qualifications : Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Why Join Adani Group? Competitive Salary: INR 5 – 10 LPA (Expected). Exciting Projects: Work on innovative and impactful projects in the field of AI, automation, and technology. Career Growth: Opportunities for continuous learning and career advancement in a fast-paced environment. Work-Life Balance: A flexible and supportive work environment. Global Impact: Be part of a world-class team that’s shaping the future of technology across industries. Behavioral Skills: Strong problem-solving and analytical abilities. Excellent communication and collaboration skills. Ability to thrive in a fast-paced, team-oriented environment. Technical Skills: Software Development: Full product life cycle experience. Programming: Proficient in object-oriented languages, preferably Python. Data Structures & Algorithms: Strong focus on performance, scalability, and availability. Databases: Proficiency in PostgreSQL/MySQL; exposure to NoSQL (e.g., MongoDB). APIs: Strong knowledge of REST API principles and protocols. Design Patterns: Solid understanding and practical application. Messaging Queues: Experience with RabbitMQ, Kafka, ActiveMQ, or PubSub. Caching: Familiarity with Redis or Memcache. Cloud Platforms: Hands-on experience with AWS, GCP, or Azure. Microservices & Kubernetes: Experience with microservices architecture, exposure to Kubernetes and gRPC is a plus. Top Skills: Write clean, efficient, and maintainable code, primarily in Python. Follow best practices in design, testing, version control, and deployment. Build scalable, high-performance systems that are highly available, low latency, and distributed. How to Apply: Review the Job Listing: Read through all the details on the job listing page. Find the Apply Link: Look for the “Apply” button, usually located at the top or bottom of the page. Enter Personal Details: Click the apply link to access the application portal, and fill in your personal details and other requested information. Follow Instructions Carefully: Pay attention to any specific instructions and complete all required fields. Double-Check Your Information: Review all entries for accuracy before submitting. Submit the Application: Ensure your contact information is correct and that your qualifications are clearly reflected. Inaccurate or incomplete applications can hurt your chances. Apply Here Latest Posts All Posts Software Testing Uncategorized Software Test Engineer salary in India November 28, 2024 Inquiry November 28, 2024 React JS Interview Questions for experienced November 27, 2024 Software Testing interview questions for TCS November 26, 2024 What is Jenkins ? November 25, 2024 What is page object model in automation testing ? November 25, 2024 Selenium interview questions for Automation Testing November 25, 2024 What is Selenium ? November 25, 2024 Control statements in core Java November 25, 2024 Load More End of Content. Categories Best IT Training Institute Pune (14) data engineer (6) Data Science (35) Data Science Classes (13) Data Science Questions (6) Full Stack Development (3) HR (3) Jobs (2) News (1) Placements (2) SAM (4) Software Testing (34) Software Testing Classes (3) Uncategorized (7) Update (18)

Read More »
Infosys hiring Automation Test engineers
November 30, 2024 1 Comment

Infosys hiring Automation Test Engineers Role: Automation Test EngineerIndustry Type: IT Services & ConsultingDepartment: Engineering – Software & QAEmployment Type: Full Time, PermanentRole Category: Quality Assurance and TestingEducation UG: B.Sc in Any Specialization, B.Tech/B.E. in Any Specialization, BCA in Any Specialization Key Skills :     1.Automation Testing    2.Java Selenium     3.Selenium Automation Testing                              4.Selenium Testing         5.Functional Testing Job Highlights : Strong logical thinking and problem-solving skills. Ability to collaborate effectively with teams. Educational Requirements: Master’s or Bachelor’s in Technology, Engineering, Computer Science, or Computer Applications. Additional Requirements: Good understanding of SDLC and Agile methodologies. Job description : Job Title  : Java Selenium Automation Testing EngineerResponsibilities  : A day in the life of an Infoscion As part of the Infosys team, your main responsibility will be to ensure smooth design, development, validation, and support activities to deliver high-quality service to our clients. You will gather and understand client requirements and translate them into technical specifications. You will assist in estimating the amount of work needed for projects and provide accurate information to team leads and project managers. You will contribute to building efficient programs and systems that help clients in their digital transformation journey. Primary skills: Experience in Automation Testing using Selenium and Java. Preferred skills: Knowledge of Mobile Testing and Mobile Automation Testing. Knowledge of design principles and system architecture basics. Familiarity with performance engineering. Understanding of quality processes and project estimation techniques. Ability to translate functional and non-functional requirements into system requirements. Ability to design and develop complex programs. Writing test cases and test scenarios based on project specifications. A solid understanding of Software Development Life Cycle (SDLC) and Agile methodologies. Awareness of the latest technologies and trends. Strong logical thinking and problem-solving skills. Ability to collaborate effectively with cross-functional teams. Educational requirements: Master’s or Bachelor’s degree in Technology, Engineering, Computer Science, or Computer Applications. Location of posting will be determined based on business needs. Apply Here About the company Infosys is a global leader in next-generation digital services and consulting, with over 300,000 employees working across more than 56 countries to amplify human potential and create new opportunities for people, businesses, and communities. With over four decades of experience, Infosys helps clients navigate their digital transformation journey by leveraging the power of cloud and AI. The company enables businesses with an AI-first core, driving agile digital transformation at scale, while continuously improving through always-on learning and the transfer of digital skills, expertise, and ideas from its innovation ecosystem. Infosys is committed to being a well-governed, environmentally sustainable organization, fostering a diverse and inclusive workplace where talent thrives. To learn more about how Infosys can help your enterprise navigate the next phase of its transformation, visit www.infosys.com. Categories Best IT Training Institute Pune (14) data engineer (6) Data Science (35) Data Science Classes (13) Data Science Questions (6) Full Stack Development (3) HR (3) Jobs (2) News (1) Placements (2) SAM (4) Software Testing (34) Software Testing Classes (3) Uncategorized (7) Update (18) Tags Best IT Training Institute Pune (14) data engineer (6) Data Science (35) Data Science Classes (13) Data Science Questions (6) Full Stack Development (3) HR (3) Jobs (2) News (1) Placements (2) SAM (4) Software Testing (34) Software Testing Classes (3) Uncategorized (7) Update (18)

Read More »

Enroll Now and get 5% Off On Course Fees