Senior Data Engineer (Databricks)

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 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

• 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
• 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
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities