Data Engineering Lead

Job Description Summary

We are looking for a skilled and experienced Microsoft Fabric Data Engineer Lead with strong experience in designing, implementing, and managing data engineering solutions using Microsoft Fabric—a unified platform for data integration, analytics, and governance

Job Description

Site Overview

Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is GE Aerospace's multidisciplinary research and engineering center. Pushing the boundaries of innovation every day, engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing.

Role Overview

• Architect scalable data solutions using Fabric components like Lake houses, Pipelines, and Dataflows
• Lead data ingestion and transformation using tools such as Azure Data Factory, PySpark, SQL, and Kusto Query Language (KQL)
• Ensure data quality and governance across Bronze (raw), Silver (cleansed), and Gold (curated) layers
• Collaborate with cross-functional teams including analytics engineers, architects, and business stakeholders
• Optimize performance and scalability of the data platform through monitoring and tuning
• Mentor junior engineers and guide best practices in data engineering
• Design and implement data models and schemas to support business requirements. Ensure data accuracy, consistency, and reliability. Optimize data structures for performance and scalability.
• Good experience on Azure Purview integrating data pipelines with Purview for Data lineage, experience with Microsoft Fabric, migrating the application from Azure Data Factory and Azure Synapse to Microsoft Fabric
• Implement robust data security measures, including encryption, access control, and data masking. Ensure compliance with data privacy regulations and company policies.
• Monitor and optimize data pipelines and queries for performance and efficiency. Implement caching, partitioning, and indexing strategies. Troubleshoot and resolve performance issues.
• Establish and enforce data quality standards. Implement data governance practices, metadata management, and data lineage tracking. Ensure data quality through validation and cleansing processes.
• Collaborate with business stakeholders to understand data requirements and deliver.
• Create and maintain comprehensive technical documentation, including system architecture, design documents, and deployment procedures. Ensure knowledge sharing within the team.
• Implement Lean daily management and Lean continuous improvement concepts in Application development and operations.

Required Qualifications

Preferred Qualifications

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate

Additional Information

Relocation Assistance Provided : No

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Skills Required

Power Bi, Data Security, Pyspark, Data Quality, Data Governance, Sql, ELT, Azure Synapse, Azure Data Factory, Etl