- Location
- Maharashtra, Pune
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Source
- Freshteam
Description
Data & ML Automation (Databricks) (Pune)
Pune, Maharashtra
Work Type: Full Time
Job Title: Full-Stack Data Engineer – Data & ML Automation (Databricks)
About Us
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.
Overview
We are seeking a Fullstack Data Engineer who can operate at the intersection of data engineering, fullstack development, and testing/automation. This role will focus on building internal automation tooling, validating data and ML workflows, and developing lightweight web interfaces or dashboards that help teams interact with data and model outputs more effectively.
The ideal candidate is a versatile engineer who can seamlessly switch between CLI tooling, pipeline testing, backend glue code, and rapid visualization apps.
Key Responsibilities
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 Databricks workflows, job deployments, environment provisioning, and MLOps operations using:
Databricks APIs
Terraform
Databricks SDK
Data & ML Workflow Testing
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.
Internal Tools & Dashboards
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
Engineering Practices
Apply best practices around:
Spec‑driven development
Coding agents and automation patterns
CI/CD workflows for data/ML systems
Nice-to-Have Skills
Experience creating dashboards and visualizations using Databricks AI/BI or any modern BI tool (Power BI, Tableau, Looker, etc.)
Pune, Maharashtra
Work Type: Full Time
Job Title: Full-Stack Data Engineer – Data & ML Automation (Databricks)
About Us
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.
Overview
We are seeking a Fullstack Data Engineer who can operate at the intersection of data engineering, fullstack development, and testing/automation. This role will focus on building internal automation tooling, validating data and ML workflows, and developing lightweight web interfaces or dashboards that help teams interact with data and model outputs more effectively.
The ideal candidate is a versatile engineer who can seamlessly switch between CLI tooling, pipeline testing, backend glue code, and rapid visualization apps.
Key Responsibilities
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 Databricks workflows, job deployments, environment provisioning, and MLOps operations using:
Databricks APIs
Terraform
Databricks SDK
Data & ML Workflow Testing
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.
Internal Tools & Dashboards
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
Engineering Practices
Apply best practices around:
Spec‑driven development
Coding agents and automation patterns
CI/CD workflows for data/ML systems
Nice-to-Have Skills
Experience creating dashboards and visualizations using Databricks AI/BI or any modern BI tool (Power BI, Tableau, Looker, etc.)
Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered.
Skills
ReactTerraformCI/CDDatabricksData EngineeringETLTableauPower BILooker