Job Description:
Perform data validation, data quality checks, and data integrity testing.
Write and execute complex SQL queries for data analysis and validation.
Use Python, PyTest, or PySpark for data processing and testing activities.
Validate ETL/ELT pipelines and data warehouse processes.
Identify data discrepancies, investigate issues, and perform root cause analysis.
Work with Azure/AWS data platforms and validate data workflows.
Collaborate with development, QA, and business teams to ensure data accuracy.
Follow SDLC, Agile methodologies, and established quality processes.
📌 Data Operations & Quality Assurance Pune
🏢 Acme Services Private
📍 Pune
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