Data Engineer – Databricks & Lakehouse (Power BI Environment) in India at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer – Databricks & Lakehouse (Power BI Environment) in India.

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. The position involves working across multiple data sources including ERP, CRM, and APIs, ensuring seamless integration and high-quality data delivery. You will play a key role in shaping robust data models aligned with standardized business definitions and enterprise metrics. The environment is highly collaborative, working closely with BI teams, business stakeholders, and data governance functions. This is a high-impact role suited for an experienced data engineer passionate about scalable architecture, data quality, and modern analytics platforms.

• 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.
• Integrate data from enterprise systems such as ERP, CRM, APIs, and other internal platforms into unified data models.
• Build curated, business-ready datasets aligned with standardized definitions and Power BI semantic models.
• Implement data quality checks, validation rules, and testing frameworks to ensure production-grade reliability.
• Monitor pipeline performance, troubleshoot issues, and maintain consistency across development, testing, and production environments.
• Collaborate with BI teams, business stakeholders, and governance functions to ensure accurate and well-documented data models.
• Contribute to CI/CD practices, deployment processes, and data lineage tracking for improved transparency and control.

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.
• Exposure to AI-assisted development tools or AI-driven engineering practices is a plus.

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