Expert Data Engineer (Databricks)

Codvo Private Limited; Pune District; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

Codvo Private Limited is seeking an Expert Data Engineer based in Pune, Maharashtra. The role involves designing and maintaining Databricks data pipelines for effective ETL/ELT processes, alongside operationalizing machine learning models. Applicants should have solid experience with Databricks and AWS data services.

This is a full-time position, emphasizing collaboration with data scientists and implementing best-practice DevOps processes. If you're passionate about data and looking to innovate, apply now!

Qualifications

• Experience in designing, building, and maintaining Databricks data pipelines.
• Strong skills in Python for data processing and ETL.
• Knowledge of AWS data services and Unity Catalog.

Responsibilities

• Design and maintain Databricks data pipelines for ETL/ELT.
• Operationalize machine learning models with robust validation.
• Collaborate with data scientists for model deployment.

Skills

Databricks platform experience

Python development for data processing

Unity Catalog knowledge

AWS data services (S3, IAM)

Data lake/lakehouse architecture patterns

Dashboard building experience

Job description

# Expert Data Engineer (Databricks)Pune, MaharashtraWork Type:Full TimeApply Now**Data Engineer\_Expert**Job Description• 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.).---Must Have / Nice to Have Skills Required:• 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 experienceNice 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