Data Engineer
Full-timePosted
- Salary
- Not disclosed
- Eligible batches
- 2024 · 2025 · 2026
- Location
- PuneOn-site
About the role
Capco is looking for a Data Engineer to join its Pune team. You will design, build and maintain data pipelines on Azure and Databricks, supporting banking and financial services clients. The role involves working with Python, PySpark and Spark SQL to create scalable ETL solutions.
Responsibilities
- Develop and optimise batch processing pipelines using Spark and Delta Lake.
- Implement CI/CD workflows and infrastructure as code with Terraform.
- Integrate data sources via REST APIs and manage data storage on ADLS.
- Ensure performance, reliability and proper exception handling in distributed environments.
- Collaborate with cross‑functional teams to deliver production‑grade data solutions.
Free interview prep
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Eligibility
- Open to candidates graduating in 2024, 2025 or 2026.
Skills
- Strong Python programming.
- Hands‑on experience with PySpark, Spark SQL and Databricks.
- Familiarity with Azure cloud services.
- Knowledge of CI/CD pipelines and Terraform/IaC.
- Understanding of ETL design, Delta Lake and lakehouse architecture.
Resume keywords
- Python
- PySpark
- Spark SQL
- Databricks
- Azure
- CI/CD
- REST API
- ETL pipelines
- Delta lakes
- Terraform
Benefits
- Opportunity to work on high‑impact projects for leading financial institutions.
- Access to a diverse, inclusive culture that encourages growth.
- Career advancement without a forced hierarchy.
You'll apply on job-boards.greenhouse.io
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About Capco
Global technology and management consulting firm
Founded 1998 · 1001-5000 employees · HQ New York, USA
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