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Popular mid-level Data Engineer role in Pune with broad required skills increases applicant competition.
Core data engineering skills transfer across industries, though governance tooling experience favors similar enterprise contexts.
Explicit 5+ years plus mandatory Snowflake, Python, Azure, and governance tooling indicate strict technical filters.
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Build and maintain scalable batch and real-time data pipelines supporting enterprise analytics and reporting.
Implement and enforce data governance standards, metadata management, and data quality monitoring across enterprise data platforms (Snowflake, Oracle, Azure).
Collaborate with business and IT stakeholders to deliver reliable, documented data solutions enabling self-service analytics and adherence to SLAs.
5+ years experience in Data Engineering or Data Platform roles.
Strong SQL skills and hands-on experience with Snowflake, Oracle, or Azure Data Services.
Proficiency in Python or Java and ETL/ELT tools such as Azure Data Factory (ADF).
Experience implementing data governance frameworks, data quality monitoring, and metadata/data catalog tools (e.g., Purview, Collibra, Alation).
Experienced in designing and optimizing data models and transformation logic for business analytics use cases.
Demonstrates ability to collaborate cross-functionally to translate business needs into scalable data engineering solutions.
Familiar with enterprise data governance, quality frameworks, and enabling business self-service analytics through well-documented datasets.