Job Title

Looking forSenior Databricks Data Engineer | Pan Indiato join a team of rockstar developers. The candidate should have a minimum of 6+ yrs. of experience.About CodeVyasa:CodeVyasa is a mid-sized product engineering company that works with top-tier product/solutions companies such asMcKinsey, Walmart, RazorPay, Swiggy, and others. We are about 550+ people strong and we cater to Product & Data Engineering use-cases around Agentic AI, RPA, Full-stack and various other GenAI areas.Job Summary: We are seeking a highly skilledSenior Data Engineerwith strong hands-on experience inDatabricksandAWSto join our dynamic data engineering team. The ideal candidate will be well-versed inPySpark ,CI/CD pipelines , andTerraformfor infrastructure as code. Experience withDAB (Data Access Broker)is highly preferred.Key Responsibilities: Design, develop, and maintain scalable and high-performance data pipelines usingDatabricksandPySpark . Implement and manage data solutions onAWS , including services like S3, Glue, Lambda, EMR, and Redshift. UseCI/CD toolsfor automated deployment and testing of data workflows. Develop infrastructure as code usingTerraformto provision and manage cloud resources. Collaborate with data scientists, analysts, and other engineering teams to support end-to-end data solutions. Monitor, troubleshoot, and optimize performance of data pipelines and cloud infrastructure. Work on data governance, security, and compliance practices, preferably leveragingDABif applicable.Must-Have Skills: Strong hands-on experience withDatabricks(Mandatory) Solid experience withAWScloud services (Mandatory) Proficiency inPySparkand distributed data processing Experience inCI/CDimplementation for data workflows Hands-on withTerraformfor infrastructure managementWhy Join CodeVyasa? Work on innovative, high-impact projects with a team of top-tier professionals. Continuous learning opportunities and professional growth. Flexible work environment with a supportive company culture. Competitive salary and comprehensive benefits package. Free healthcare coverage.