Senior Data Engineer (Databricks)

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codvo.ai

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python Flask Databricks Glue pySpark IAM VPC API Rest API AWS Amazon S3 OAuth ETL

Job Description

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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