Senior Data Engineer (Databricks)
Experience: 4-8+ yrs
About Us
At Codvo, we build scalable, future-ready digital platforms that drive real
business impact. We foster a culture of innovation, collaboration, and
ownership—where designers work closely with product and engineering teams to
deliver high-quality, user-centered experiences. If you thrive in complex
product environments and care deeply about design quality from concept to
production, this role is for you.
About the Role:
We are looking for a Senior Data Engineer with strong expertise in Databricks
and modern data platforms. The ideal candidate will be responsible for building
scalable data pipelines, optimizing data workflows, and enabling data-driven
decision-making across the organization.
Key Responsibilities:
* Design, develop, and maintain scalable data pipelines using Databricks and
Python
* Build and optimize ETL workflows for structured and unstructured data
* Work with Databricks Lakehouse architecture and implement best practices
* Manage and implement data governance using Unity Catalog
* Integrate AWS data services such as S3, IAM, VPC, and other relevant services
* Collaborate with cross-functional teams to deliver high-quality data
solutions
* Build dashboards and support data visualization requirements
* Ensure data quality, reliability, and performance optimization
Must-Have Skills:
* Strong experience with Databricks platform
* Proficiency in Python for data engineering and ETL pipelines
* Hands-on experience with Unity Catalog
* Good knowledge of AWS services (S3, IAM, VPC, Glue/Lambda – preferred)
* Solid understanding of Data Lake / Lakehouse architecture
* Experience in building dashboards and reporting solutions
Nice to Have:
* Experience with REST API development (Flask, FastAPI, etc.)
* Knowledge of authentication/authorization (OAuth, API keys, IAM roles)
* Solid query optimization and performance tuning skills
* Experience with PySpark optimization
* Exposure to ML/AI pipelin
📌 Senior Data Engineer (Pune)
🏢 Codvo.ai
📍 Pune
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