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Codvo AI · IT - Software Development

Senior / Staff Full-Stack Data Engineer – Databricks

India, Pune · Job Posted June 03, 2026
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Job Description

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.

Job Responsibility

  • Design, build, and maintain ETL/ELT pipelines on Databricks using Spark, Delta Lake, and Databricks Workflows
  • Build and operate batch and real-time data pipelines for ingestion, transformation, and orchestration
  • Operationalize machine learning inference pipelines authored by data scientists (batch and real-time)
  • Ensure consistency between model training and inference environments
  • Implement data quality checks, validation rules, monitoring, alerting, and automated recovery
  • Collaborate with data scientists to productionize models and optimize inference performance and cost
  • Implement CI/CD, DevOps, and MLOps best practices for data pipelines and ML workflows
  • Optimize compute, storage, and job configurations for performance and cost efficiency
  • Implement and manage enterprise data governance using Unity Catalog (schemas, lineage, ownership, documentation)
  • Work with Databricks infrastructure and platform configurations

Requirements

  • Strong hands-on experience with Databricks, Apache Spark, and Delta Lake
  • Proven experience building and operating production-grade data pipelines
  • Experience operationalizing machine learning models and inference pipelines
  • Strong understanding of data reliability, observability, and monitoring practices
  • Experience with CI/CD, DevOps, and MLOps workflows
  • Experience working with cloud platforms (AWS or Azure)
  • Familiarity with Unity Catalog and enterprise data governance concepts
  • Experience with spec-driven development and coding agents

Nice to have

  • Experience with Databricks infrastructure tuning and cost optimization
  • Exposure to streaming frameworks and real-time data processing
  • Experience with Infrastructure-as-Code (Terraform or similar)
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