Description

You will lead automation and testing strategies for large-scale Data Warehouse cloud migration and modernization initiatives across complex enterprise platforms.

This role is hybrid.

Responsibilities

• Define and drive comprehensive test strategies, including detailed test plans for functional, integration, data validation, API, and automation testing.
• Build automation utilities using Python, PyTest, Postman, and Newman, integrating them into CI/CD pipelines via Git, Jenkins, and Azure DevOps.
• Execute complex SQL queries and stored procedures for data profiling, validations, and complex data integration checks.
• Lead Business Process Testing (BPT) with multiple upstream and downstream application teams, managing onshore/offshore QE teams.
• Operate in multi-modal delivery environments (Waterfall, Agile, Hybrid), ensuring consistent quality across data, integration, and business workflows.

Required Skills

• 10+ years of experience in automation engineering, specifically within Data Warehouse contexts.
• Strong hands-on expertise in Python and API automation.
• Proficiency with PyTest, Postman, and Newman frameworks.
• Experience integrating automation into CI/CD pipelines using Git, Jenkins, and Azure DevOps.
• Working knowledge of cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
• Ability to write complex SQL queries and stored procedures for data validation.
• Familiarity with NoSQL databases (Cassandra, MongoDB) and real-time data streaming tools (Kafka, SQS).

Preferred Skills

• Experience with Informatica Cloud IDMC, DVO, or CDV.

Key Skills

Education

Any Graduate