Opening in TCS for Senior Software Engineer (Sr. Data Quality Engineer)

Role & responsibilities

Primary Skill: BDD" AND "Python" AND "UI Automation" AND "Selenium" AND "Gherkin

Responsibilies include:

• Validate ETL logic, business logic, and data quality in Snowflake, Databricks, and other data platforms before code changes are released to production.
• Partner with data engineers to identify potential failure points and proactively help catch issues early.
• Ensure the quality of every release using rigorous, data-driven testing practices.
• Develop automated and reusable tests to improve coverage, development velocity, and reduce regression risk.
• Translate business and technical requirements into test scenarios to validate KPIs, metrics, and business rules.
• Contribute to and enhance the existing test automation framework, with a focus on scalability and maintainability.

Required Education, Experience/Skills/Training:

• Strong experience validating data pipelines, ETL processes, and data warehouses in production environments.
• Expert-level SQL skills and hands-on experience working with large datasets (terabytes or more), capable of identifying data anomalies through efficient queries.
• Proficiency with Snowflake, Hive, Databricks, and other modern data platforms.
• Solid Python skills and experience with test automation for data pipelines.
• Familiarity with tools like Airflow and Spark and understanding of CI/CD principles.
• Strong collaboration and communication skills; able to work effectively across cross-functional teams.
• B.S. in Computer Science (or equivalent degree or work experience)
• Nice to have:
• Experience with BDD frameworks (e.g., Behave)
• Experience working in AWS or other cloud environments

Familiarity with open-source data quality tools like Deequ, Great Expectations, or similar custom frameworks