Data Engineer – Databricks & Lakehouse (Power BI Environment)

Mold-Masters DME India Private Limited, Coimbatore; Coimbatore District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Mold-Masters DME India Private Limited in Coimbatore is seeking a Data Engineer to design, build, and optimize scalable data pipelines and curated data products. The role demands strong Databricks experience and engaging in enterprise analytics and reporting.

The ideal candidate should have 8+ years of data engineering experience, a Bachelor's degree in a relevant field, and proficiency in SQL and Python. Additional experience with Azure Data Factory and Power BI is preferred.

Qualifications

• 8+ years data engineering experience.
• Strong Databricks, Spark, and Delta Lake experience.
• SQL and Python proficiency.
• Experience with Power BI or similar tools.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks and Delta Lake.
• Develop gold-layer datasets aligned to standardized business definitions.
• Implement automated data quality checks and validation rules.
• Monitor and optimize pipeline performance.
• Partner with BI and business teams for stakeholder engagement.

Skills

Databricks

Data pipeline development

Data modeling

SQL

Python

Education

Bachelor’s degree in a relevant field

Tools

Databricks

Power BI

Azure Data Factory

Synapse

Delta Lake

Job description

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 a relevant field.
• 8+ years data engineering experience.
• Strong Databricks, Spark, and 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.

EEO

The policy of Hillenbrand Inc. is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, Hillenbrand Inc. and our operating companies are committed to being an Equal Employment Opportunity (EEO) Employer and offer opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at [e-mail]. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.