Hillenbrand
Data Engineer – Databricks & Lakehouse (Power BI Environment)
Remote Data Engineering role with clear candidate location fit.
PostedJun 15, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
India
Role overview
Data Engineer – Databricks & Lakehouse (Power BI Environment)
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Data Engineering & Pipeline Development
- Design, develop, and maintain scalable data pipelines using Databricks and Delta Lake
- Build and manage transformations across bronze, silver, and gold layers
- Optimize processing for performance, reliability, and cost
- Integrate data from ERP, CRM, APIs, and other enterprise systems
Data Modeling & Business Logic
- Develop gold-layer datasets aligned to standardized business definitions
- Translate business requirements into reusable data models
- Ensure consistency of core metrics across reporting
- Align Databricks outputs with Power BI semantic models
Data Quality, Testing & Reliability
- Implement automated data quality checks and validation rules
- Build testable, production-ready pipelines
- Support impact analysis using lineage tools
- Participate in CI/CD and deployment processes
Performance Optimization & Operations
- Monitor and optimize pipeline performance
- Troubleshoot issues across environments
- Ensure data consistency between dev, test, and prod
- Support high-volume data workloads
AI & Automation (Preferred)
- Use AI-assisted tools for development (e.g., Copilot, Databricks Agents)
- Explore AI agents for testing, lineage analysis, and optimization
- Contribute to AI-driven engineering practices
Collaboration & Stakeholder Engagement
- Partner with BI and business teams
- Support governance and cataloging efforts
- Document data models and pipelines
Basic Qualifications:
- Bachelor’s degree in relevant field
- 8+ years data engineering experience
- Strong Databricks, Spark, Delta Lake experience
· SQL and Python proficiency
- Experience with Power BI or similar tools
Preferred Qualifications:
- Azure Data Factory, Synapse, or Data Lake experience
· DevOps and CI/CD experience
- AI agents or AI-assisted development exposure
- Experience in large, complex enterprise environments
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