Quick Summary
Job Title: Full-Stack Data Engineer – Data & ML Automation (Databricks)
Automation & Tooling Develop CLI tools, scripts, and utilitiesto automate repetitive workflows across the data platform, including: Pipeline execution Governance and metadata synchronization Environment setup Test harness creation Automate…
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.
- Develop CLI tools, scripts, and utilitiesto automate repetitive workflows across the data platform, including:
- Pipeline execution
- Governance and metadata synchronization
- Environment setup
- Test harness creation
- Automate Databricks workflows, job deployments, environment provisioning, and MLOps operations using:
- Databricks APIs
- Terraform
- Databricks SDK
- Design and implement:
- Integration tests
- End‑to‑end pipeline tests
- Validation frameworks for Databricks ETL/ELT pipelines and ML inference workflows
- Improve reliability, observability, and overall engineering productivity across the data & ML team.
- Build quick internal applications using React, Streamlit, or similar frameworks to:
- Visualize data flows
- Provide model inference demos
- Enable operational or configuration controls
- Develop internal productivity and monitoring dashboards
- Apply best practices around:
- Spec‑driven development
- Coding agents and automation patterns
- CI/CD workflows for data/ML systems
- Experience creating dashboards and visualizations using Databricks AI/BI or any modern BI tool (Power BI, Tableau, Looker, etc.)
Location & Eligibility
About this job
- Who can apply
- India
- Posted
- 162 days ago
Listing Details
- First seen
- May 6, 2026
- Last seen
- July 21, 2026
Posting Health
- Days active
- 162
- Repost count
- 0
- Trust Level
- 19%
- Scored at
- October 15, 2026
Signal breakdown
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