Lead QA Automation Engineer

1 week ago

Remote, India Gaura Nitai Technologies Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Experience range 8-10 yrs

Primary Skills/Mandatory Skills ETL Automation Testing, SQL, Python, Snowflake, AWS, Gitlab, SQL Server, Tableau/Power BI (details mentioned in the job description)

Job Description:

  1. Data Warehouse & Database Expertise

  2. Strong SQL skills — ability to write complex queries (joins, window functions, CTEs, etc.).

  3. Solid understanding of data warehousing concepts — facts, dimensions, star/snowflake schema, ETL pipelines, etc.

  4. Experience testing data migration between heterogeneous systems (e.g., SQL Server → Snowflake).

  5. Hands-on experience validating:

o Schema and metadata consistency

o Data completeness and accuracy

o Aggregation and transformation logic

o Performance and reconciliation checks

  1. Snowflake

  2. Working knowledge of Snowflake:

o Querying using SnowSQL or Worksheets

o Understanding of Snowflake objects (warehouses, schemas, tables, views, stages, etc.)

o Familiarity with roles, permissions, and the Snowflake security model

  • Nice-to-have:

o Hands-on with Snowpipe

o Experience integrating Snowflake with automation tools or Python

  1. Automation Frameworks

  2. Experience building data validation automation frameworks (Python or Java-based).

  3. Hands-on with Pytest, unittest, or TestNG.

  4. Strong Python scripting skills for automation and data validation.

  5. Familiarity with DB connection libraries (e.g., pyodbc, snowflake-connector-python, JDBC).

  6. Experience developing automated ETL validation or data comparison utilities.

  7. Understanding of CI/CD pipelines (e.g., Jenkins, GitHub Actions) for automated testing.

  8. ETL & Data Pipeline Testing

  9. Good understanding of ETL tools (Informatica, Azure Data Factory, SSIS, or dbt).

  10. Experience verifying source-to-target mappings and business rule transformations.

  11. Exposure to data reconciliation and performance testing of data pipelines.

Additional / Preferred Skills

  • Experience with AWS ecosystem.

  • Familiarity with Git-based workflows and test reporting tools.

  • Basic understanding of Tableau, Power BI, or Looker to validate downstream reports.

  • Exposure to data quality and monitoring tools.

Soft Skills

  • Excellent communication and collaboration skills.

  • Ability to work closely with Data Engineers, Business Analysts, and cross-functional teams.

Job Type: Contractual / Temporary

Contract length: 6 months

Application Question(s):

  • Is your notice period 15 days or less?

Work Location: Remote

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