Senior Data Engineer (Databricks) (Remote)
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AI Summary
Design, develop, and maintain scalable data pipelines using Databricks and Python while managing data governance via Unity Catalog. Collaborate with cross-functional teams to optimize ETL workflows and deliver high-quality data solutions.
Senior Data Engineer (Databricks)
Experience: 4-8+ yrs
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.
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)
- Strong query optimization and performance tuning skills
- Experience with PySpark optimization
- Exposure to ML/AI pipelines
- Familiarity with Databricks AI/BI capabilities
Good to Have:
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities
Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered.
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