Data Engineer

Location: Pune / Chennai / Bangalore (Hybrid/On-site)

Experience: 4 6 Years

Role Type: Full-time

Are you passionate about building large-scale data processing systems and modern Lakehouse architectures? We are looking for a high-caliber Data Engineer to join our growing team. You will sit at the intersection of AWS and Databricks, designing and optimizing scalable ETL/ELT pipelines that drive business-critical analytics.

If you have a deep understanding of Medallion Architecture, Unity Catalog, and serverless data orchestration, we want to hear from you.

• Platform: Databricks Lakehouse, Delta Lake, Delta Sharing
• Cloud: AWS (S3, Glue, Lambda, Step Functions)
• Languages: Python, SQL, Scala, or Java
• Governance: Unity Catalog

• Architect & Build: Design and implement robust data pipelines using the Databricks Lakehouse platform.
• Medallion Strategy: Apply Medallion Architecture (Bronze, Silver, Gold layers) for streamlined data processing and refinement.
• Modern Governance: Implement data governance and granular access control using Unity Catalog.
• Serverless Orchestration: Utilize AWS Lambda and Step Functions for efficient, serverless data processing workflows.
• ETL Excellence: Develop and manage complex ETL pipelines using AWS Glue and Amazon S3.
• Collaborate: Partner with Data Scientists and cross-functional Agile teams to deliver high-quality data solutions.

• Databricks Expert: Hands-on experience with the Databricks Lakehouse Platform and relevant certifications.
• AWS Professional: Strong proficiency in AWS data services, specifically Glue, S3, Lambda, and Step Functions.
• Programming Mastery: High proficiency in Python, Scala, or Java, along with advanced SQL skills.
• Data Modeling: Proven experience in data modeling for Lakehouse and modern warehouse architectures.
• Best Practices: Deep understanding of ETL best practices, data transformation techniques, and governance frameworks.

• Advanced AWS Certifications (Data Engineer / Solutions Architect).
• Experience with multi-cloud environments (e.g., Azure).
• Familiarity with modern data engineering tools and frameworks.

• Work on cutting-edge, global-scale data projects.
• Direct exposure to the latest cloud technologies and Databricks features.
• A collaborative environment that values innovation and technical excellence.

• If you are ready to engineer the future of data, please apply with your updated resume highlighting your Databricks and AWS experience.