OI
Senior QA Data Engineer
Accepting applicationsOrion Innovation · Mumbai Metropolitan Region
Full-Time Mid_senior Pythonaiate
Posted
29 May
Category
Test
Experience
Mid_senior
Country
N/A
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
Job Title: QA Data Engineer
Location: Any Orion Innovation office in India(Pune/Mumbai/Kochi/Coimbatore/Chennai/Hyderabad)
Work type: Hybrid
Role Description / Responsibilities
A technically skilled QA professional specialising in validating data platforms, ETL pipelines, analytical models, and large‑scale data transformations. The QA Engineer works closely with developers, data engineers, product teams, and business SMEs to ensure the quality, reliability, and accuracy of data assets across the delivery lifecycle. of our digital data audit products.
Core Responsibilities
Data Testing & Quality Assurance
Design, develop, and execute test plans for data & analytics products, including ingestion pipelines, transformations, data models, and dashboards.
Apply robust testing techniques for data completeness, consistency, accuracy, timeliness, and lineage.
Technical & Platform Responsibilities
Write and execute SQL/PL‑SQL queries for data verification, profiling, and root‑cause analysis.
Use Databricks to inspect data, validate notebook logic, execute test scripts, and investigate transformation failures.
Work with Delta Lake, Spark DataFrames, and related components to test scalable data processing.
ETL/ELT and Pipeline Testing
Validate end‑to‑end ETL/ELT workflows.
Ensure correctness of data transformations and seamless movement between data layers.
Conduct regression testing following schema evolution, code updates, or pipeline refactoring.
Collaboration & Delivery Practices
Work closely with Data Engineers, Developers‑in‑Test, Business SMEs, and Product Owners to ensure high‑quality delivery.
Provide clarity on data issues, identify root causes, and support resolution.
Participate in refinement sessions to assess testability of new features and data logic.
Contribute to automation frameworks, promoting continuous integration of data tests.
Automation & Scripting (Desirable)
Develop automated test scripts using Python, PySpark, or Pandas.
Contribute to automated test frameworks that validate transformations and data quality at scale.
Skills & Experience
Mandatory
Proven experience testing data and analytics platforms.
Advanced SQL and PL/SQL skills.
Hands‑on experience with Databricks (notebooks, Delta Lake, Spark).
Strong understanding of ETL concepts and data transformation methodologies.
Experience validating large datasets, data pipelines, and data models.
Desirable
Python for test automation and data manipulation.
PySpark for distributed data testing.
Pandas for lightweight automation and exploratory validation.
Exposure to CI/CD, data observability tools, or version control (Git).
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Candidate Privacy Policy
Orion Systems Integrators, LLC And Its Subsidiaries And Its Affiliates (collectively, “Orion,” “we” Or “us”) Are Committed To Protecting Your Privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) Explains
What information we collect during our application and recruitment process and why we collect it;
How we handle that information; and
How to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
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Job Title: QA Data Engineer
Location: Any Orion Innovation office in India(Pune/Mumbai/Kochi/Coimbatore/Chennai/Hyderabad)
Work type: Hybrid
Role Description / Responsibilities
A technically skilled QA professional specialising in validating data platforms, ETL pipelines, analytical models, and large‑scale data transformations. The QA Engineer works closely with developers, data engineers, product teams, and business SMEs to ensure the quality, reliability, and accuracy of data assets across the delivery lifecycle. of our digital data audit products.
Core Responsibilities
Data Testing & Quality Assurance
Design, develop, and execute test plans for data & analytics products, including ingestion pipelines, transformations, data models, and dashboards.
Apply robust testing techniques for data completeness, consistency, accuracy, timeliness, and lineage.
Technical & Platform Responsibilities
Write and execute SQL/PL‑SQL queries for data verification, profiling, and root‑cause analysis.
Use Databricks to inspect data, validate notebook logic, execute test scripts, and investigate transformation failures.
Work with Delta Lake, Spark DataFrames, and related components to test scalable data processing.
ETL/ELT and Pipeline Testing
Validate end‑to‑end ETL/ELT workflows.
Ensure correctness of data transformations and seamless movement between data layers.
Conduct regression testing following schema evolution, code updates, or pipeline refactoring.
Collaboration & Delivery Practices
Work closely with Data Engineers, Developers‑in‑Test, Business SMEs, and Product Owners to ensure high‑quality delivery.
Provide clarity on data issues, identify root causes, and support resolution.
Participate in refinement sessions to assess testability of new features and data logic.
Contribute to automation frameworks, promoting continuous integration of data tests.
Automation & Scripting (Desirable)
Develop automated test scripts using Python, PySpark, or Pandas.
Contribute to automated test frameworks that validate transformations and data quality at scale.
Skills & Experience
Mandatory
Proven experience testing data and analytics platforms.
Advanced SQL and PL/SQL skills.
Hands‑on experience with Databricks (notebooks, Delta Lake, Spark).
Strong understanding of ETL concepts and data transformation methodologies.
Experience validating large datasets, data pipelines, and data models.
Desirable
Python for test automation and data manipulation.
PySpark for distributed data testing.
Pandas for lightweight automation and exploratory validation.
Exposure to CI/CD, data observability tools, or version control (Git).
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Candidate Privacy Policy
Orion Systems Integrators, LLC And Its Subsidiaries And Its Affiliates (collectively, “Orion,” “we” Or “us”) Are Committed To Protecting Your Privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) Explains
What information we collect during our application and recruitment process and why we collect it;
How we handle that information; and
How to access and update that information.
Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
Show more Show less