C
Data & ML Automation (Databricks) (Pune)
full-time•Pune
About this role
<div><strong>Job Title: Full-Stack Data Engineer – Data & ML Automation (Databricks) </strong></div><p style="margin-bottom:0cm;"><strong>About Us</strong></p><p style="margin-bottom:0cm;">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.</p><div><br></div><div><strong>Overview</strong></div><div>We are seeking a <strong>Fullstack Data Engineer</strong> who can operate at the intersection of <strong>data engineering</strong>, <strong>fullstack development</strong>, and <strong>testing/automation</strong>. 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.</div><div>The ideal candidate is a versatile engineer who can seamlessly switch between <strong>CLI tooling</strong>, <strong>pipeline testing</strong>, <strong>backend glue code</strong>, and <strong>rapid visualization apps</strong>.</div><div><br></div><div><strong>Key Responsibilities</strong></div><div><strong>Automation & Tooling</strong></div><ul style="margin-top:0cm;" type="disc"><li>Develop <strong>CLI tools, scripts, and utilities</strong>to automate repetitive workflows across the data platform, including:<ul style="margin-top:0cm;" type="circle"><li>Pipeline execution</li><li>Governance and metadata synchronization</li><li>Environment setup</li><li>Test harness creation</li></ul></li><li>Automate <strong>Databricks workflows</strong>, job deployments, environment provisioning, and MLOps operations using:<ul style="margin-top:0cm;" type="circle"><li>Databricks APIs</li><li>Terraform</li><li>Databricks SDK</li></ul></li></ul><div><strong>Data & ML Workflow Testing</strong></div><ul style="margin-top:0cm;" type="disc"><li>Design and implement:<ul style="margin-top:0cm;" type="circle"><li><strong>Integration tests</strong></li><li><strong>End‑to‑end pipeline tests</strong></li><li><strong>Validation frameworks</strong> for Databricks ETL/ELT pipelines and ML inference workflows</li></ul></li><li>Improve reliability, observability, and overall engineering productivity across the data & ML team.</li></ul><div><strong>Internal Tools & Dashboards</strong></div><ul style="margin-top:0cm;" type="disc"><li>Build quick internal applications using <strong>React</strong>, <strong>Streamlit</strong>, or similar frameworks to:<ul style="margin-top:0cm;" type="circle"><li>Visualize data flows</li><li>Provide model inference demos</li><li>Enable operational or configuration controls</li><li>Develop internal productivity and monitoring dashboards</li></ul></li></ul><div><strong>Engineering Practices</strong></div><ul style="margin-top:0cm;" type="disc"><li>Apply best practices around:<ul style="margin-top:0cm;" type="circle"><li>Spec‑driven development</li><li>Coding agents and automation patterns</li><li>CI/CD workflows for data/ML systems</li></ul></li></ul><div><strong>Nice-to-Have Skills</strong></div><ul style="margin-top:0cm;" type="disc"><li>Experience creating dashboards and visualizations using <strong>Databricks AI/BI</strong> or any modern BI tool (Power BI, Tableau, Looker, etc.)</li></ul><div><br></div><p style="margin-top:4.0pt;margin-right:0cm;margin-bottom:4.0pt; margin-left:0cm;"><br></p>
What you'll do
- The Fullstack Data Engineer will focus on building internal automation tooling, validating data and ML workflows, and developing lightweight web interfaces or dashboards. Key responsibilities include automating workflows, testing data and ML pipelines, and creating internal tools for data visualization.
About Codvo.ai
At Codvo.ai, we specialize in leveraging artificial intelligence, cloud, and data to solve complex business problems and drive innovation. Our passion for innovation drives us to deliver solutions that not only meet but exceed your unique business needs, fostering smarter, more productive teams. Here’s why our approach has earned widespread acclaim from our clients:
67 Customer NPS: Our Net Promoter Score is a testament to the high level of satisfaction and loyalty among our clients. It underscores our ability to deliver quality and value through our specialized services, making us a preferred partner for businesses looking to leverage AI and data for competitive advantage.
78 Employee NPS: The satisfaction and engagement of our team directly influence the quality of service we provide. Our high employee NPS signifies a motivated, dedicated team that's committed to excellence. This positive work culture ensures that we can deliver exceptional AI-first engineering and enterprise data application services to you.
Our approach goes beyond traditional software development; we're dedicated to partnering with you to harness the power of AI and data. The combination of our high trial and engagement success rates, extensive experience, and positive feedback from both clients and employees positions us as more than just a service provider. We're your trusted ally in navigating the complexities of today's digital landscape, committed to transforming your vision into a reality with cutting-edge AI and data solutions.
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Frequently Asked Questions
What does a Data & ML Automation (Databricks) (Pune) do at Codvo.ai?
As a Data & ML Automation (Databricks) (Pune) at Codvo.ai, you will: the Fullstack Data Engineer will focus on building internal automation tooling, validating data and ML workflows, and developing lightweight web interfaces or dashboards. Key responsibilities include automating workflows, testing data and ML pipelines, and creating internal tools for data visualization..
Is the Data & ML Automation (Databricks) (Pune) position at Codvo.ai remote?
The Data & ML Automation (Databricks) (Pune) position at Codvo.ai is based in Pune, India. Contact the company through Clera for specific work arrangement details.
How do I apply for the Data & ML Automation (Databricks) (Pune) position at Codvo.ai?
You can apply for the Data & ML Automation (Databricks) (Pune) position at Codvo.ai directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.