Immediate Joiners to 1 month notice period preffered

- Minimum 10-15 years of hands-on data engineering experience in large-scale,

high-volume environments

- Expert-level proficiency in SQL optimization for multi-petabyte datasets and advanced Python programming
- Extensive experience with Snowflake architecture, optimization, and cost management at enterprise scale
- Demonstrated expertise building Kimball dimensional data warehouses and star schema architectures
- Advanced experience with AWS cloud infrastructure and either DBT or SQLMesh for data transformations
- Hands-on experience with CI/CD pipelines, GitFlow, and data governance frameworks ensuring GDPR/PCI-DSS compliance
- Proven ability to architect and own multiple entire areas of the codebase or services independently
- Experience with MLOps frameworks, LLM integration, vector databases, and AI-

driven analytics.



We know its recent, but some familiarity is a plus.

- Proven track record with subscription business models including cohort analysis, LTV calculations, and marketing attribution
- Direct industry experience in cybersecurity, ad-tech, or high-volume data processing environments (billions of events per day)

Role: Data Engineer, Industry Type: Emerging Technologies (Cybersecurity), Department: Engineering - Software & QA, Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills PythonSQLApache KafkaIcebergDBT LakehouseSnowflakeAWSDimensional Modeling

📌 Data Engineer Staff (Pune)
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