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Popular data engineer role, metro locations, and broad Azure/Databricks skill requirements increase applicant competition.
Data engineering skills transfer across industries but Azure-centric tooling raises moderate specialization.
Explicit 7+ years and mandatory Azure data stack skills make filters strict.
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Lead design, development, and leadership of large-scale data systems on Microsoft Azure, including data ingestion, storage, processing, and visualization.
Manage and optimize data pipelines using Azure Data Factory, Synapse Analytics, Azure SQL, Azure Data Lake and related technologies to handle petabyte-scale data.
Collaborate with cross-functional teams including Data Scientists, BI, Product, and Marketing to build data models, datasets, dashboards, and reports supporting various business initiatives.
7+ years of relevant work experience in data engineering or related fields.
Strong expertise with Azure data technologies such as Azure SQL, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Azure Databricks, PySpark, SparkSQL, and data pipeline orchestration tools.
Experience designing and implementing large-scale data processing systems, data models, and ETL workflows on Azure cloud platform.
Location options include Chennai, Coimbatore, Bangalore, and Hyderabad.
Experienced technical leader capable of mentoring and guiding junior data engineers while providing strategic technical direction to teams.
Proficient in operationalizing high-volume, petabyte-scale data environments with focus on reliability, scalability, and security.
Comfortable working collaboratively across Product, Marketing, BI, and ML teams to translate data requirements into production-grade data solutions.