5-8+ years of hands-on experience in data architecture and engineering delivery. Proven success in building modern 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). Solid 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 Technologies
📍 Bengaluru
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