S
Serendipity Corporate Services
Sr. Data Engineer
Skills
SQL QueriesData EngineeringMachine LearningAIGitHubAzure
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
26 August 2026
What they need
- Hands-on experience in designing and implementing data platforms, including data warehouses, lakehouse, and modern ETL/ELT pipelines.
- Working knowledge of Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks, Lakehouse) is strongly preferred.
- Proven ability to build, deploy, and troubleshoot highly reliable, distributed data pipelines integrating structured and unstructured data from various internal systems and external sources.
- Working knowledge of the Medallion Architecture (Bronze/Silver/Gold) and Delta Lake / OneLake concepts; prior project experience implementing this pattern is highly desirable.
- Solid understanding of data lakehouse patterns and Delta Lake / OneLake concepts, with the ability to structure data models that are AI/ML-ready and support semantic modeling.
- Solid understanding of SQL, relational and dimensional data modeling, query tuning, and basic performance optimization.
- Familiarity with data quality concepts, including null/duplicate/schema-drift checks, basic SCD handling, and validation rules in transformation pipelines.
- Familiarity with Git, branching strategies, and CI/CD concepts in a data engineering context (Azure DevOps or GitHub Actions).
- Strong communication and collaboration skills, with the ability to articulate complex data engineering solutions to both technical and non-technical stakeholders, and to lead cross-functional initiatives.
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