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Tier-1 employer and popular Data Engineer role, moderate Azure/Databricks specificity reduces broad applicant pool.
Data engineering skills are broadly transferable across industries; specific Azure/Databricks experience slightly narrows fit.
Mandatory Azure Data Factory, Databricks, and production cloud operations experience create moderate filtering.
Ensure stability, scalability, and performance of cloud-based batch data pipelines primarily using Azure Data Factory and Databricks.
Monitor, maintain, and optimize Databricks workloads and cloud infrastructure for cost efficiency and operational excellence.
Improve operational processes including incident handling, performance monitoring, and issue resolution in data pipeline environments.
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field (B.E. acceptable).
Proven work experience as a Data Engineer with strong focus on Azure Data Factory and Databricks technologies.
Experience operating and maintaining large-scale cloud data solutions in production environments.
Technical skills required: Databricks, Lakehouse architecture, batch account management, IAC, GitHub, IAM, CI/CD pipelines, command-line scripting (PowerShell).
Experience with cloud data engineering primarily on Azure platform, including strong operational and optimization skills for large cloud data environments.
Familiarity with data pipeline orchestration and automation tools, with ability to improve monitoring and incident response processes.
Experience or exposure to automotive domain is a plus but not mandatory.