5-8+ years of hands-on experience in data architecture and engineering delivery. Proven success in building up-to-date data platforms on cloud (Azure, AWS, GCP). Deep knowledge of data lakehouse architectures (e.g., Databricks, Fabric). Proficiency with Python, SQL, Spark, and orchestration frameworks. Experience with ETL/ELT tools (e.g., Informatica, Talend, Fivetran) and containerization (Docker, Kubernetes). Strong background in Data Modeling (ERD, star/snowflake, canonical models). Familiarity with REST APIs, GraphQL, and event-driven design. Demonstrated experience integrating AI/ML and GenAI components into data platforms. Exposure to DataOps and DevOps practices for CI/CD and platform automation.
Nice to Have Skills & Experience
- Working knowledge of code management and CI/CD systems (Azure DevOps or GitHub). Familiarity with NoSQL databases (e.g., MongoDB).
- Exposure to IoT Data Standards like Project Haystack, Brick Schema, Real Estate Core.
📌 Senior Data Engineer (Bengaluru)
🏢 Insight Global
📍 Bengaluru
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