Data Engineer – Databricks & Lakehouse (Power BI Environment)

Role Overview

This role offers the opportunity to work on a modern, enterprise-scale data platform built on a Lakehouse architecture using Databricks. You will design and optimize scalable data pipelines that transform raw enterprise data into trusted, business-ready datasets powering analytics and Power BI reporting.

What You Will Do

Design, build, and maintain scalable data pipelines using Databricks, Spark, and Delta Lake within a Lakehouse architecture. Develop and manage bronze, silver, and gold layer transformations, ensuring optimized performance, reliability, and cost efficiency.

Why It Might Be a Fit

This is a high-impact role suited for an experienced data engineer passionate about scalable architecture, data quality, and modern analytics platforms. You will play a key role in shaping robust data models aligned with standardized business definitions and enterprise metrics.

Requirements

• 8+ years of experience in data engineering or related roles within large-scale enterprise environments
• Strong hands-on experience with Databricks, Apache Spark, and Delta Lake
• Advanced proficiency in SQL and Python for data processing and pipeline development
• Experience working with Power BI or similar BI and visualization tools
• Solid understanding of data modeling, business logic translation, and enterprise data architecture
• Experience with cloud data platforms such as Azure Data Factory, Synapse, or data lake environments
• Familiarity with CI/CD pipelines, DevOps practices, and automated deployment workflows
• Strong analytical and problem-solving skills with the ability to work cross-functionally with technical and business teams

Benefits

• Remote opportunity based in India
• Work on a modern Databricks Lakehouse architecture at enterprise scale
• Exposure to advanced analytics and Power BI-driven reporting environments
• Opportunity to work with large, complex, global data ecosystems
• Collaborative, innovation-driven engineering environment
• Involvement in AI-assisted data engineering and automation initiatives (where applicable)
• Competitive compensation aligned with experience and market standards

Tagged as: Power BI