Lead QA Automation Engineer
1 week ago
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:
Data Warehouse & Database Expertise
Strong SQL skills — ability to write complex queries (joins, window functions, CTEs, etc.).
Solid understanding of data warehousing concepts — facts, dimensions, star/snowflake schema, ETL pipelines, etc.
Experience testing data migration between heterogeneous systems (e.g., SQL Server → Snowflake).
Hands-on experience validating:
o Schema and metadata consistency
o Data completeness and accuracy
o Aggregation and transformation logic
o Performance and reconciliation checks
Snowflake
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
Automation Frameworks
Experience building data validation automation frameworks (Python or Java-based).
Hands-on with Pytest, unittest, or TestNG.
Strong Python scripting skills for automation and data validation.
Familiarity with DB connection libraries (e.g., pyodbc, snowflake-connector-python, JDBC).
Experience developing automated ETL validation or data comparison utilities.
Understanding of CI/CD pipelines (e.g., Jenkins, GitHub Actions) for automated testing.
ETL & Data Pipeline Testing
Good understanding of ETL tools (Informatica, Azure Data Factory, SSIS, or dbt).
Experience verifying source-to-target mappings and business rule transformations.
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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