Senior Data Engineer (Databricks)
Experience: 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 contemporary 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:
Solid 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)
Robust query optimization and performance tuning skills
Experience with PySpark optimization
Exposure to ML/AI pipelines
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📌 Senior Data Engineer Pune (India)
🏢 Codvo.ai
📍 India