Technical Lead – Data Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Design and create comprehensive data pipelines from start to finish utilizing Microsoft Fabric (Data Factory, Lakehouse, Notebooks).

• Develop scalable data architectures by employing medallion (Bronze/Silver/Gold) patterns and lakehouse frameworks.

• Construct efficient and optimized ETL/ELT pipelines for both structured and semi-structured data.

• Integrate data from various enterprise sources including SQL Server, APIs, and cloud platforms.

• Create and design semantic models and data models aimed at reporting and analytics.

• Develop optimized data models (facts, dimensions, relationships) specifically for Power BI reporting.

• Facilitate Direct Lake / real-time analytics scenarios and enhance reporting performance.

• Collaborate closely with BI teams to ensure the delivery of high-performance dashboards and reports.

• Engage directly with US stakeholders to grasp business requirements and reporting expectations.

• Take part in gathering requirements, conducting solution walkthroughs, and participating in design discussions.

• Convert business needs into scalable technical solutions.

• Provide consistent status updates, demonstrations, and technical insights to client teams.

• Define and execute Fabric-based data architectures that adhere to enterprise standards.

• Uphold data governance, data quality, and security best practices.

• Enhance performance, scalability, and cost-efficiency across data pipelines and storage.

• Collaborate with architects and cross-functional teams.

⛳️ Requirements

• Extensive experience with Microsoft Fabric / Azure Data Platform.

• Practical experience with:

• - Fabric Lakehouse, Data Factory, Dataflows / Pipelines.

• - Power BI (Data modeling, DAX, performance optimization).

• - SQL, Python, PySpark.

• Proficiency in data modeling (dimensional modeling, star/snowflake schemas).

• Experience in constructing scalable data pipelines and distributed processing systems.

• Familiarity with CI/CD, version control, and deployment pipelines.

• Strong skills in debugging, performance tuning, and problem-solving.

• 5–10 years of experience in Data Engineering.

• At least 2+ years of experience with Microsoft Fabric or a modern analytics stack.

• Proven experience in client-facing roles involving US stakeholders.

🏝️ Benefits

• Competitive salary and comprehensive benefits package.

• Opportunities for professional development and growth.

• Flexible working hours and remote work options.

• Collaborative and inclusive work environment.