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Tier-1 brand, mid-level generalist Data Engineer in Bangalore with broad Azure/Spark requirements increases competition.
Azure, Databricks and Spark skills are highly transferable across industries.
Explicit 5+ years requirement and mandatory Azure/Databricks/Spark tech stack tighten candidate filters.
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Design, develop, and oversee scalable, resilient data infrastructure and automated data transformation pipelines using Microsoft Azure services.
Mentor junior data engineers and collaborate with data scientists, analysts, and architects to meet data requirements and deliver high-quality data solutions.
Manage CI/CD processes and ensure data quality, pipeline performance, and timely issue resolution within the Azure environment.
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
5+ years proven experience as a Data Engineer or similar role handling data and ETL processes (3-6 years experience explicitly mentioned).
Strong knowledge of Microsoft Azure services: Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage, Azure Data Lake Gen 2.
Proficient in SQL DML querying modern RDBMS (e.g., SQL Server, PostgreSQL) and software engineering principles applied to data engineering (CI/CD, version control, testing).
Experienced with big data technologies, especially Spark and PySpark, capable of building Spark applications.
Proficient in Python preferred; familiarity with other languages like Scala, Java, or C# accepted.
Familiar with Azure DevOps pipelines, Git workflows, and deploying data solutions in Azure cloud environments.