Fullstack Data Engineer (India)

Codvo.ai is a global empathy-led technology services company focused on software and people transformations. They are seeking a Full Stack Data Engineer to design and maintain data pipelines, operationalize machine learning models, and ensure data reliability while collaborating with data scientists.

Responsibilities:

• Design, build, and maintain Databricks data pipelines (ETL/ELT) for ingestion, transformation, and orchestration using Spark/Delta Lake/Databricks Workflows
• 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.)

Requirements:

• 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
• 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