Azure Data Engineer
Straive
Bengaluru, Karnataka, India1h agovia LinkedIn
About the Role
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 (Good 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.
Requirements & Tech Stack
- 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.
Qualifications
- 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.
- Good to have: Exposure of Databricks AI agent and AgentBricks.