Data Engineer – Databricks & Lakehouse (Power BI Environment)
hillenbrand · Remote - India · Remote
Posted Jun 17, 2026
Sign up free: we match you to jobs like this, tailor your application and fill the form. 2 free applications every day.
Position Summary:
The Data Engineer will design, build, and optimize scalable data pipelines and curated data products within a modern Lakehouse architecture (Databricks). This role is responsible for delivering high-quality, business-ready datasets (gold layer) that power enterprise analytics and Power BI reporting. The ideal candidate has deep Databricks experience, strong data modeling skills, and a focus on building reliable, testable, and governed data solutions. Exposure to AI-driven development or AI agents is a plus.
Work You’ll Do:
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
Who we are:
Mold-Masters ( www.moldmasters.com ) is a leading global supplier of hot runners, controllers, auxiliary injection and co-injection systems. We design, manufacture, distribute, sell and service highly engineered and customized plastic processing equipment that caters to every market. Mold-Masters is a business unit of…