950 Etl Testing jobs in India

Greetings from TCS!

TCS is hiring for ETL Testing

Desired Experience Range: 4 to 10 Years

Job Location: Chennai/Bangalore

Must have:

• Good testing and analytical skill

• Good writing and communication skills

• Good understanding and experience in projects

• Proficient in SQL Queries

• Proficient in ETL Testing

• Minimum 8 years of test experience is preferable

Nice to have:

• ISTQB Certification – Foundation

• Knowledgeable in the banking domain is a plus.

Thank You

Anshika Varma

Dear Candidate,

Greetings from LTIMindtree !

We are really impressed by your ETL Testing experience. We are having multiple opportunities and projects which are based on ETL Testing, SQL. I’d love to tell you a little more about the position and learn a few things about you, as well.

If you are interested, please share your updated resume and also help us with the details required in the below link to process it ahead.

Note : If you have already applied, please ignore this

Dear Candidate,

Greetings from LTIMindtree !

We are really impressed by your ETL Testing experience. We are having multiple opportunities and projects which are based on ETL Testing, SQL. I’d love to tell you a little more about the position and learn a few things about you, as well.

If you are interested, please share your updated resume and also help us with the details required in the below link to process it ahead.

Note : If you have already applied, please ignore this

Available Locations- Hyderabad (F2F only), Bangalore, Chennai, Pune, Gurgaon, TVM

Exp- 5+ Yrs

Relevant exp- 3 Yrs in ETL , Python Scripting, SQL queries

Perform ETL validation and data quality checks across various stages of the data pipeline

Work on data validation and data comparison between source and target systems

Validate data in Data Warehouse (DWH) and during Data Migration activities

Write complex SQL queries to perform backend data validation

Collaborate with developers, business analysts, and other stakeholders to understand data flow and ensure test coverage

Prepare test plans, test cases, test data, and defect logs

Work in Agile/Scrum environment, participating in sprint ceremonies

We are seeking a highly skilled and motivated QA with strong expertise in ETL Testing, data governance, and cloud data platforms to drive QA delivery for large scale data initiatives. The ideal candidate will be hands-on ETL/data testing, ensuring compliance with governance standards while validating data accuracy across AWS and Snowflake platforms.

Key Responsibilities:

· Lead QA delivery across ETL, data warehouse, Snowflake, and AWS-based data projects ensuring high data accuracy and reliability.

· Define and implement test strategies, governance frameworks, and AQ best practices for ETL and Data Testing

· Conduct data profiling, validation,reconciliation,and transformation testing using SQL and automation where applicable.

· Collaberate with business stakeholders product owners via (RALLY) and data governance teams to ensure requirements and acceptance criteria are fully met.

· Drive compliance with data governance, data quality, and regulatory standards

· Manage stakeholder expectations by providing test plans, dashboards, and progress updates.

· Partner with DevOps and Automation teams to enhance ETL and data testing automation in AWS/Snowflake environments.

Required Skills & Experience

· 5+ years of QA experience.

· Strong expertise in ETL testing, data profiling, and data warehouse/migration testing.

· Proficiency in SQL with ability to write advanced queries for large-scale data validation.

· Hands-on experience with Snowflake and AWS cloud data services (S3, Redshift, Glue, Lambda, etc.).

· Working knowledge of ETL tools (Informatica, Talend, DataStage, SSIS, or similar).

· Experience with Rally/Agile Central for Agile project management and QA delivery tracking.

· Solid understanding of data governance, metadata management, and data quality frameworks.

· Familiarity with test management tools (JIRA, HP ALM, TestRail).

Good to Have

· Exposure to automation frameworks for ETL testing (Python-based or custom DB validation frameworks).

· Knowledge of BI and reporting tools (Tableau, Power BI, Qlik).

· Experience with data lineage, data cataloging tools, and master data management (MDM).

· . Certifications in AWS, Snowflake, or ISTQB/Data Testing are a plus.

· Insurance experience is a plus

Contract Type: Contract/Consultant

Location: Remote

Client: Leading Canadian Enterprise

Work Schedule: Eastern Time Zone (5:00 PM - 1:00 AM IST)

About the Opportunity

We are seeking an experienced Senior Quality Engineer for an exciting contract opportunity with a premier Canadian client. This role focuses on ensuring the quality of enterprise-scale data solutions and ETL pipelines. The ideal candidate will bring strong expertise in automated testing, data validation, and cloud-based data platforms.

Key Responsibilities

• Design and execute comprehensive test strategies for data pipelines and ETL processes
• Develop and maintain automated testing frameworks for data applications using industry-standard tools
• Validate data accuracy, integrity, and transformations across enterprise data platforms
• Collaborate with data engineering teams to ensure quality throughout the development lifecycle
• Perform SQL-based database testing and data validation
• Conduct performance testing for large-scale data systems
• Implement continuous improvement initiatives for testing processes
• Track and manage defects through resolution

Required Qualifications

• 5+ years of experience in software quality engineering
• 3+ years of experience testing enterprise data systems and ETL processes
• Strong hands-on experience with: PySpark for data processing and testing
• DBT (Data Build Tool) for data transformation testing
• ETL automation and validation
• Automated testing frameworks (Pytest, API automation tools)
• Proficiency in SQL and Python for test automation
• Experience with data pipeline orchestration tools (Airflow or similar)
• Knowledge of CI/CD practices and tools (Git, Jenkins, Azure DevOps)
• Strong analytical and problem-solving skills
• Excellent communication skills for cross-functional collaboration

Preferred Qualifications

• Experience with Microsoft Azure Fabric or Azure Data Factory
• Knowledge of event-driven streaming platforms (Kafka, Event Hubs)
• Performance testing experience with JMeter or LoadRunner
• ISTQB or relevant quality assurance certifications
• Experience with data governance and compliance

What We Offer

• Opportunity to work with latest data technologies
• Collaboration with a talented international team
• Exposure to enterprise-scale data solutions
• Professional growth in a dynamic environment

Important Information

• This is a contract position requiring availability during Eastern Time business hours
• Candidates must be comfortable working 5:00 PM - 1:00 AM IST
• Must have reliable internet connection and suitable remote work setup (Laptop will be provided by Organisation)
• There will be two rounds of interviews - the first will be conducted virtually, and the second will take place in either Bangalore or Chennai.

Note: Only shortlisted candidates will be contacted. Please ensure your profile demonstrates the required technical skills and availability for the specified work hours.

#DataEngineering #QualityAssurance #ETLTesting #PySpark #DBT #ContractPosition #RemoteWork #DataTesting #Automation

• Assist in the development of test plans, test cases, and test scripts based on software requirements.
• Execute manual test cases to identify software defects and usability issues.
• Learn to use bug tracking tools (e.g., Jira) to log, track, and manage defects effectively.
• Perform regression testing to ensure that bug fixes do not introduce new issues.
• Collaborate with developers to understand software functionality and troubleshoot issues.
• Participate in peer reviews of test cases and test results.
• Learn about different types of testing, including functional, usability, performance, and compatibility testing.
• Assist in the maintenance of test environments and test data.
• Gain exposure to automated testing tools and frameworks under supervision.
• Contribute to the continuous improvement of QA processes and methodologies.
• Develop an understanding of the software development lifecycle (SDLC) and agile methodologies.
• Prepare test summary reports and communicate test results to the team.

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or current enrollment with demonstrated aptitude).
• Basic understanding of software development concepts and testing principles.
• Familiarity with common operating systems (Windows, macOS, Linux).
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Excellent written and verbal communication skills.
• Eagerness to learn and a proactive attitude towards acquiring new skills.
• Ability to work independently and manage time effectively in a remote work environment.
• Passion for technology and a commitment to ensuring software quality.
• Basic knowledge of SQL or scripting languages is a plus.

About the company:

Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, with offices in San Jose, Foster City, Chicago, London, and Toronto, the company embraces a vertical-first approach and an outcome-driven mindset to help clients accelerate value realization with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as our clients.

Job Description-

Role requires experience in leading and delivering data & analytics projects covering technology delivery, managing delivery risks and issues, controlling costs, improving ROI and driving value creation.

Roles & Responsibilities

Experience- 5 to 8 years

immediate Joiners preferred

Job Location- Bengaluru, Pune, Chennai, Gurugram, Kolkata

Skills- Data Pipeline Testing, SQL, Python, Azure Databricks

• Set up and manage unique and isolated test environments for each testing cycle.
• Collaborate with DevOps and infrastructure teams to ensure the availability and consistency of test environments.
• Implement and maintain environment configurations in alignment with Snowflake testing principles.
• Manage and manipulate test data in Snowflake data warehouses to support various testing scenarios.
• Collaborate with data engineering and data science teams to ensure the availability of realistic and diverse datasets for testing.
• Implement strategies for efficient data extraction, transformation, and loading (ETL) processes for testing purposes.
• Design and execute test cases to validate the functionality and performance of applications using Snowflake data.
• Ensure that tests are independent, isolated, and reflect real-world usage scenarios.
• Collaborate with business analysts and development teams to understand requirements and user stories.
• Develop and maintain automated test scripts for Snowflake testing, incorporating data verification and validation.
• Integrate automated scripts into the continuous integration/continuous deployment (CI/CD) pipeline.
• Collaborate with the Test Automation Engineer to enhance and optimize automated testing processes.
• Identify, document, and track defects, ensuring timely communication with development teams.
• Generate comprehensive test reports highlighting test results, coverage, and any issues found during testing.
• Work with the development team to prioritize and facilitate the resolution of identified defects.
• Collaborate with cross-functional teams, including developers, data engineers, business analysts, and other testers.
• Communicate effectively with team members, stakeholders, and management to provide updates on testing progress and any potential risks.
• Stay informed about Azure platform updates and new features relevant to testing.
• Continuously evaluate and improve testing processes, incorporating industry best practices.
• Contribute to the overall quality assurance strategy and methodology.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience in software testing with a focus on data-centric testing and Snowflake data platforms.
• Strong SQL skills and familiarity with Azure data warehousing concepts.
• Familiarity with Azure Advanced concepts and complete data flow in all layers of Snowflake Cloud.
• Experience with testing tools and frameworks, and proficiency in scripting languages for automation.
• Knowledge of data validation, ETL processes, and data integrity testing.