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Strong Tier-1 brand, Bangalore metro location, and generalist data engineer title make applicant competition high.
Specialized Azure and big-data tooling increases industry specificity, so background fit is moderately sensitive.
Mandatory Azure Databricks, Spark, Delta Lake and CI/CD requirements make shortlisting highly strict.
Design, develop, and maintain scalable data pipelines and platforms using Azure Databricks, Apache Spark, and Delta Lake architectures.
Ensure data quality, governance, and security across data lakes, warehouses, and analytics platforms.
Monitor and troubleshoot production data systems to enhance platform reliability and support analytics and AI initiatives.
Proven experience in data engineering with big data technologies.
Hands-on experience with Azure Databricks, Apache Spark, and data pipeline development.
Familiarity with Delta Lake architecture, Azure Data Lake Storage, and Data Factory.
Experience implementing CI/CD pipelines for data engineering workflows.
Practitioner comfortable working in Agile or team-oriented environments with cross-functional collaboration.
Experienced in applying data governance and security best practices in distributed data systems.
Capable of providing technical guidance and supporting team knowledge sharing in data engineering initiatives.