Azure Data Engineer

Role Overview

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.

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