Zensar Technologies—Data Platform Engineer

Job description

Description: Support the design, build, and operation of the Data Platform, blending infrastructure engineering with data engineering practices to keep the Databricks/Azure environment reliable, automated, and self-service for platform users. Requirements: - Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field. - 5+ years of experience in Data Engineering, Data Platform Engineering, or Big Data development. - Proven experience designing, building, and supporting scalable enterprise data platforms. - Strong understanding of data architecture, data modeling, and distributed computing concepts. - Experience working in Agile/Scrum development environments. - Excellent analytical, problem-solving, and troubleshooting skills. Responsibilities: - Design and maintain CI/CD pipelines (Azure DevOps/GitHub Actions) for infrastructure and application deployments. - Write and maintain Terraform IaC for Azure services and Azure Databricks (Unity Catalog, workspaces, networking, compute policies). - Develop and support application code in Python and/or .NET for platform tooling and automation. - Build and maintain shared libraries/modules used by data engineers and analysts across the platform. - Design and implement platform management processes covering cost tracking, governance, provisioning, and monitoring. - Collaborate with data engineers, analysts, and security/infrastructure teams to translate requirements into platform capabilities. - Troubleshoot infrastructure, pipeline, and integration issues, including networking, authentication, and connectivity. - Contribute to platform documentation and best-practice standards. - - Required Skills & Experience - Strong experience with Microsoft Azure infrastructure, including Entra ID, Key Vault, networking, and storage. - Hands-on experience with Azure Databricks, including Unity Catalog and cluster/job management. - Terraform expertise, preferably in multi-environment deployments. - Proficiency in Python and SQL; .NET experience is an advantage. - Experience building and maintaining CI/CD pipelines. - Understanding of data platform governance and cost management. - Ability to work effectively across infrastructure and data engineering domains. - - Nice to Have - Experience with Medallion Architecture (Bronze/Silver/Gold). - Exposure to FinOps and cost attribution practices.