Job Description

Key Responsibilities

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Architect and scale up-to-date data solutions (ETL/ELT pipelines, data lakes, and data warehouses) across multiple major cloud platforms like Databricks, Snowflake, BigQuery, or Microsoft Fabric.
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Define standard patterns for integrating operational application layers with analytical data systems seamlessly.
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Maintain a hybrid approach by remaining hands-on with architecture blueprints, system design, prototyping, and high-impact code reviews.
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Technical Requirements & Qualifications:

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Deep, practical knowledge of Enterprise Data Architecture, data modeling, and robust ETL/ELT engineering
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Production-grade, hands-on experience in at least 2 to 3 of the following contemporary platforms
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Databricks (Delta Lake, Unity Catalog, Spark
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Snowflake (Snowpark, Streamlit, Data Sharing
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Google BigQuery
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Microsoft Fabric
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📌 Enterprise Data Architect Snowflake/databricks Hyderabad
🏢 Paltech
📍 Hyderabad