06 Sep
|
Paltech
|
Mumbai
Key Responsibilities
Architect and scale modern data solutions (ETL/ELT pipelines, data lakes, and data warehouses) across multiple major cloud platforms like Databricks, Snowflake, Big Query,or Microsoft Fabric.
Define standard patterns for integrating operational application layers with analytical data systems seamlessly.
Maintain a hybrid approach by remaining hands-on with architecture blueprints, system design, prototyping, and high-impact code reviews. Technical Requirements & Qualifications: Deep, practical knowledge of Enterprise Data Architectur e, data modeling, and robust ETL/ELT engineering
Production-grade, hands-on experience in at least2 to3 of the following up-to-date platforms
Databrick s (Delta Lake, Unity Catalog, Spark
Snowflak e (Snowpark, Streamlit, Data Sharing
Google Big Query
Microsoft Fabric
📌 Enterprise Data Architect (Mumbai)
🏢 Paltech
📍 Mumbai