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Mid-level, popular Azure data engineer role in metro with broad Azure/Databricks skills, high applicant density.
Strong Azure Databricks and ADLS platform focus moderately limits cross-platform transferability.
Explicit 5+ years plus mandatory Azure Databricks, PySpark, ADLS and IaC skills enforce strict shortlisting.
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Design, develop, and maintain scalable data pipelines on Azure cloud using Azure Databricks and Data Lake Storage Gen2 following medallion architecture.
Optimize Spark jobs with PySpark and Spark SQL, ensure data security, compliance, and enforce data quality and governance standards.
Automate deployments via CI/CD and Infrastructure-as-Code; collaborate with stakeholders to translate requirements and mentor junior engineers.
5+ years of professional experience in data engineering with enterprise-grade solutions delivery.
3+ years hands-on experience with Azure Databricks, Azure Data Lake Storage Gen2, and related Azure data services.
Expert Python and PySpark programming skills; strong SQL expertise; experience with data modeling and pipeline orchestration (Azure Data Factory or Apache Airflow).
Location: Bangalore or Chennai; Work Mode: Full-Time, 5 days a week from office; Employment Type: Full Time.
Proven ability to build and optimize large-scale data processing systems using Spark on Azure Databricks.
Experience implementing security and compliance in Azure data environments and automating deployments with CI/CD and Infrastructure-as-Code.
Ability to translate complex business requirements into technical solutions and mentor teams in best practices.