Job Description
Roles & Responsibilities:
- Define and drive the test automation strategy for data pipelines, ensuring alignment with enterprise data platform goals.
- Lead and mentor a team of data QA/test engineers, providing technical direction, career development, and performance feedback.
- Own delivery of automated data validation frameworks across real-time and batch data pipelines using Databricks and AWS services.
- Collaborate with data engineering, platform, and product teams to embed data quality checks and testability into pipeline design.
- Design and implement scalable validation frameworks for data ingestion, transformation, and consumption layers.
- Automate validations for multiple data formats including JSON, CSV, Parquet, and other structured/semi-structured file types during ingestion and transformation.
- Automate data testing workflows for pipelines built on Databricks/Spark, integrated with AWS services like S3, G...
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