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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level generalist role, metro location, and broad skill requirements increase competition.
Data engineering and cloud-platform skills transfer across industries but require domain experience.
Requires specific Databricks, Azure Data Factory, IaC and production data-pipeline experience.
Job Description
Structured overview of role & requirementsAbout This Role
Ensure stability, scalability, and performance of cloud-based batch data pipelines using Databricks and Azure Data Factory.
Optimize Databricks workloads and cloud infrastructure for cost efficiency and operational excellence.
Monitor, maintain, and improve operational processes including incident handling and performance monitoring in a large-scale production environment.
Minimum Requirements
Experience operating and maintaining large-scale cloud data solutions in production environments.
Proven experience as Data Engineer focusing on Azure Data Factory and Databricks.
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Strong expertise in cloud-based data pipeline architectures and batch processing, especially with Databricks and Lakehouse architecture on Azure.
Ability to proactively manage incident resolution and drive operational improvements in cross-functional and international teams.
Experience in automotive domain is advantageous but not mandatory.