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Tier-1 brand, mid-level generalist data role, metro location, and broad Azure/Databricks skills.
Azure Databricks and ADF skills are broadly transferable across industries, low domain-specific bias.
Explicit 2-6 years plus mandatory Azure Data Factory, Databricks, cloud operations and CI/CD skills.
Ensure stability, scalability, and performance of cloud-based data pipelines, focusing on batch processing.
Monitor and maintain batch data pipelines and optimize Databricks workloads to improve efficiency and reduce costs.
Analyze and fine-tune cloud infrastructure for better operational performance and cost optimization.
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
2 to 6 years of professional experience operating and maintaining large-scale cloud data solutions in production.
Proven experience with Azure Data Factory, Databricks, and batch data pipeline orchestration in cloud environments.
Experience with command-line scripting (e.g., PowerShell) and understanding of GitHub, IAM, IAC, and CI/CD pipelines.
Experienced in cloud data engineering with strong focus on Azure Data Factory and Databricks within production environments.
Capable of operational excellence in scaling, monitoring, and optimizing large-scale cloud data solutions for cost and performance.
Familiarity with automotive domain is a plus, indicating strategic fit for projects in that sector.