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Metro Bengaluru role, popular Azure data title but requires specialized Azure/Databricks/Kubernetes skills reducing generalist competition.
Azure Databricks, Synapse, and API engineering skills are highly transferable across industries.
Multiple mandatory Azure, Databricks, Kubernetes, API and IaC skills create moderately strict technical filters.
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Design, develop, and optimize scalable data pipelines and platforms using Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage.
Build, maintain, and secure RESTful APIs for data ingestion and integration using technologies like C#, .NET Core, Java, or Python.
Deploy, manage, and monitor containerized data workloads on Kubernetes (AKS) and implement CI/CD pipelines with Azure DevOps or GitHub Actions.
Hands-on experience with Azure Data Engineering services including ADF, Databricks, Synapse Analytics, and Azure SQL Database.
Proficiency in API development with RESTful APIs and API security (OAuth 2.0, JWT).
Experience managing Kubernetes (preferably AKS), Docker, Helm, and implementing CI/CD pipelines with Azure DevOps or GitHub Actions.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced with cloud-native data engineering and API development in complex enterprise environments, preferably automotive or similar sectors.
Capable of end-to-end responsibility including development, deployment, monitoring, and troubleshooting in Azure and Kubernetes environments.
Holds or is pursuing Azure certifications related to data engineering or development, and skilled in Infrastructure as Code (Terraform preferred).