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Full Stack Data Engineer(DataBricks & ML) — Codvo.ai, remote (Hiring Now)
Full Stack DE Expert
Location: Remote
Experience: 8+ Years
Company Overview
Codvo is a global empathy-led technology services company where software engineering excellence and human-centered innovation come together.
Our mission is to accelerate our clients’ digital transformation through world-class design, cloud engineering, data modernization, digital engineering, and enterprise AI.
As we deepen our focus on the Oil & Gas sector, we partner with upstream, midstream, downstream, LNG, chemical, and pipeline operators to unlock measurable value across their digital and AI transformation journeys.
Job Description
• Design, build, and maintain Databricks data pipelines (ETL/ELT) for ingestion, transformation, and orchestration using Spark/Delta Lake/Databricks Workflows.
• Must have practical experience in Databricks and MLflow, including model development, experiment tracking, model management, and deployment in a production environment.
• Operationalize machine learning models by building inference pipelines that invoke models authored by data scientists (batch or real-time), ensuring consistency between training and inference environments.
• Ensure data reliability, quality, and observability through robust validation, monitoring, alerting, and automated recovery mechanisms.
• Collaborate closely with data scientists to productionize models, manage model deployment lifecycles, and optimize inference performance and cost.
• Implement best-practice DevOps/MLOps processes such as CI/CD for pipelines, model versioning, environment promotion, and infrastructure-as-code.
• Optimize performance and cost across compute clusters, jobs, and storage layers.
• Implement and manage the enterprise data catalog, including schema design, table ownership, lineage, governance, and documentation using Unity Catalog.
• Experience with some Databricks infrastructure.
• Experience with building BI dashboards and visualization.
• Experience with coding agents and best practices (spec-driven development, etc.).
Must Have:
• Databricks platform experience
• Python development for data processing and ETL pipelines
• Unity Catalog knowledge
• AWS data services (S3, IAM, VPC, potentially Glue/Lambda)
• Data lake/lakehouse architecture patterns
• Dashboard building experience
Nice to Have:
• RESTful API design and development (Flask, FastAPI, or similar)
• Authentication/authorization patterns (OAuth, API keys, IAM roles)
• Query optimization and performance tuning
• PySpark optimization experience
• ML/AI pipeline experience
• Databricks AI/BI
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Unlock Your Full Stack Potential: Insight & Career Growth Guide
Real-time Full Stack Jobs Trends in remote, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Full Stack in remote, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 7499 jobs in India and 112 jobs in remote. This comprehensive analysis highlights market share and opportunities for professionals in Full Stack roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Codvo.ai is currently hiring and seeking a Full Stack Data Engineer(DataBricks & ML) to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Codvo.ai adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Full Stack Data Engineer(DataBricks & ML) Jobs India varies, but the pay scale is rated "Standard" in remote. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Full Stack Data Engineer(DataBricks & ML) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Full Stack Data Engineer(DataBricks & ML) interview at Codvo.ai, research the company, understand the job requirements, and practice common interview questions.
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