We are looking for a Senior Data Engineer to architect and implement our next-generation data platform. You will lead the transition toward a unified data experience, leveraging Azure for high-scale processing and Microsoft Fabric for integrated data engineering, with a heavy emphasis on automated data quality.
Key Responsibilities
● Lakehouse Implementation: Build and optimize Medallion architectures using Databricks and Fabric Data Engineering (Lakehouses and Notebooks).
● Governance & Cataloging: Implement data discovery, lineage, and classification using Microsoft Purview.
● Hybrid Orchestration: Design complex workflows using Azure Data Factory and Synapse Pipelines (Valuable to have).
● Data Transformation: Develop highly efficient ETL processes using PySpark and Spark SQL.
● High-Performance ETL: Architect and maintain robust ETL/ELT processes using Delta Live Tables (DLT) and Spark SQL, ensuring data is ready for downstream ML and BI workloads.
● Performance Engineering: Deep-dive into Spark UI and query plans to eliminate bottlenecks, optimize shuffles, and reduce cloud compute costs.
Technical Requirements
● SQL:
Expert-level complex joins, window functions, and query optimization.
● Python/PySpark: Advanced capability in writing modular, unit-tested PySpark code and tuning Spark UI/Shuffle partitions.
● Deep experience in Databricks (Unity Catalog, Delta Live Tables, Databricks Workflows/Lakeflow). ● Deep expertise with Azure cloud with Azure Databricks, Fabric, Synapse & ADF.
● Experience with Azure Purview for enterprise-grade data governance.
● Big Data: Proficiency with technologies like Spark, Delta Lake, and Structured Streaming.
● Strong understanding of Data Warehouse/Lake/Lakehouse architecture and concepts.
● Programming: Strong Python/PySpark skills for data engineering tasks.
Good to have :
● Certifications,
DP-600/DP-700 - Microsoft Certified: Fabric Analytics Engineer
Associate / Microsoft Certified: Fabric Data Engineer Associate
DP-203 - Data Engineering on Microsoft Azure
Databricks Certified Data Engineer
● Exposure of Databricks AI agent and AgentBricks
📌 Azure Data Engineer (Bengaluru)
🏢 Straive
📍 Bengaluru
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.