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Tier-1 brand, generalist data engineer in Bengaluru with broad skillset requirements drives high candidate competition.
Specialized test-data governance and masking raise domain specificity, reducing cross-industry transferability to medium.
Multiple mandatory technical skills (data masking, Azure, Databricks, SQL, PySpark) enforce strict shortlisting.
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Design and implement secure Test Data Management (TDM) strategies including data masking, anonymization, and provisioning to ensure compliance with data privacy regulations like GDPR.
Collaborate with application, QA, and data teams to provide reliable, compliant test datasets and maintain data lineage and traceability for test data.
Automate test data creation, masking, deployment, and support audit, risk, and compliance requirements related to test data.
Strong understanding and hands-on experience with data governance, data privacy, and data masking techniques (static & dynamic).
Proficiency in SQL and experience with relational databases; scripting/automation skills in Python or Shell.
Familiarity with ETL/Data pipelines and cloud platforms, preferably Azure.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in designing and implementing enterprise-level test data management strategies ensuring data privacy compliance in regulated environments.
Skilled in collaboration with cross-functional teams such as QA, application and data engineering to deliver compliant test data solutions.
Technically proficient with automation of data masking, provisioning and strong cloud (Azure) ecosystem familiarity.