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.

Accountabilities

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

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Engineer Databricks & Lakehouse (Power BI Environment)