
Senior Databricks Data Engineer
3 weeks ago
Looking for Senior Databricks Data Engineer | Pan India to join a team of rockstar developers. The candidate should have a minimum of 10+ yrs. of experience.
About CodeVyasa: CodeVyasa is a mid-sized product engineering company that works with top-tier product/solutions companies such as McKinsey, 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 skilled Senior Databricks Data Engineer with strong hands-on experience in Databricks and AWS to join our dynamic data engineering team. The ideal candidate will be well-versed in PySpark, CI/CD pipelines, and Terraform for infrastructure as code. Experience with DAB (Data Access Broker) is highly preferred.
Key Responsibilities:
- Design, develop, and maintain scalable and high-performance data pipelines using Databricks and PySpark.
- Implement and manage data solutions on AWS, including services like S3, Glue, Lambda, EMR, and Redshift.
- Use CI/CD tools for automated deployment and testing of data workflows.
- Develop infrastructure as code using Terraform to 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 leveraging DAB if applicable.
Must-Have Skills:
- Strong hands-on experience with Databricks (Mandatory)
- Solid experience with AWS cloud services (Mandatory)
- Proficiency in PySpark and distributed data processing
- Experience in CI/CD implementation for data workflows
- Hands-on with Terraform for infrastructure management
Why 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.
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