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codvo.ai

Senior Data Engineer (Databricks) (Remote)

4-8 Years
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Job Description

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

Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered.

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About Company

Job ID: 146980495

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