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Senior Data Engineer (Databricks)

icon building Company : Codvo.ai
icon briefcase Job Type : Full Time

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Job Description - Senior Data Engineer (Databricks)



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)
  • 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







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