Data Engineer – Databricks & Lakehouse (Power BI Environment)
Hillenbrand, Inc.5 months ago
Remote, IndiaSenior
Responsibilities
- Design, develop, maintain, and optimize scalable data pipelines using Databricks and Delta Lake.
- Build and manage transformations across bronze, silver, and gold data layers.
- Develop gold-layer datasets, reusable data models, and standardized business logic for Power BI reporting.
- Integrate data from ERP, CRM, APIs, and other enterprise systems.
- Implement automated data quality checks, validation rules, and production-ready testing.
- Monitor and troubleshoot pipeline performance across development, test, and production environments.
- Support lineage analysis, governance, cataloging, documentation, and deployment processes.
- Partner with BI and business teams to deliver consistent, business-ready data products.
- Explore AI-assisted development and AI agents for testing, lineage analysis, and optimization.
Requirements
- Bachelor’s degree in a relevant field.
- 8+ years of data engineering experience.
- Strong experience with Databricks, Spark, and Delta Lake.
- Proficiency in SQL and Python.
- Experience with Power BI or similar tools.
- Experience building scalable, reliable, testable, and governed data solutions.
- Preferred experience with Azure Data Factory, Synapse, or Data Lake.
- Preferred DevOps and CI/CD experience.
- Preferred exposure to AI agents or AI-assisted development.
- Experience in large, complex enterprise environments is preferred.
Tech Stack
Categories
Data Engineering
About Hillenbrand, Inc.
Hillenbrand builds and sells industrial processing equipment and automation systems for manufacturers in plastics, food, recycling, and other markets. Its portfolio includes brands such as Coperion, Milacron, and Mold-Masters, delivering extrusion, material handling, hot runner, and molding technologies, plus related software and services. The company is headquartered in Batesville, Indiana and is publicly traded on the NYSE (HI).