Job Description

Summary
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As the Azure Data Engineering Lead, you will lead the developing and managing of advanced data solutions on the Microsoft Azure platform. You'll oversee the creation of scalable data pipelines, design data architectures, and ensure efficient ETL processes using services like Azure Synapse, Azure Data Factory, and Azure Databricks. Your role involves ensuring data security, compliance, and optimizing performance while collaborating with stakeholders to meet data requirements. You'll also maintain technical documentation and implement continuous improvement practices in application development and operations.As the Azure Data Engineering Lead, you will lead the developing and managing of advanced data solutions on the Microsoft Azure platform. You'll oversee the creation of scalable data pipelines, design data architectures, and ensure efficient ETL processes using services like Azure Synapse, Azure Data Factory, and Azure Databricks. Your role involves ensuring data security, compliance, and optimizing performance while collaborating with stakeholders to meet data requirements. You'll also maintain technical documentation and implement continuous improvement practices in application development and operations.
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Responsibilities

• Lead a team of Azure data engineers in designing, building, and maintaining scalable and efficient data pipelines on Azure cloud platform, utilizing services like Azure Synapse, Azure Data Factory, Azure Fabric, Azure SQL Database, and others.
• Design data solutions, including data lakes, data warehouses, and real-time data processing systems, leveraging Azure services like Azure Data Lake Storage, Azure Synapse Analytics
• Integrate diverse data sources into Azure-based solutions. Ensure smooth and efficient ETL processes, real-time data ingestion, and data transformation. Implement data integration best practices.
• 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.

Qualifications

• Bachelor's or master's degree in computer science, Information Technology, or a related field.
• Extensive experience in data engineering, with a focus on Azure cloud platform.
• Proficiency in Azure services like Azure Data Factory, Azure Databricks, Azure SQL Data Warehouse, and Azure Stream Analytics.
• Strong programming skills in languages such as Python, SQL, or Scala for data manipulation and transformation.
• Experience with big data technologies like Hadoop, Spark, or Hive is a plus.
• Familiarity with data visualization tools like Power BI or Tableau.
• Knowledge of data warehousing concepts, data lakes, and real-time data processing.
• Excellent problem-solving skills and attention to detail,
• Strong communication and leadership skills.
• Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer) are a plus.

Desired Characteristics

• Effective Communicator: Possess the ability to articulate complex technical concepts in a clear and concise manner, facilitating understanding across a wide range of audiences.
• Solution-Oriented Mindset: Demonstrated ability to approach challenges with a solutions-first attitude, proactively identifying and addressing potential obstacles.
• Change Advocate: Capable of spearheading and implementing change, showcasing a proactive approach to driving improvements and leading teams towards new initiatives.
• Leadership Qualities: Show a strong capacity to lead, influence, and guide teams, fostering a collaborative and productive work environment.
• Technical Translator: Excel at translating and breaking down intricate technical topics, ensuring that stakeholders at all levels have a clear understanding of the subject matter.
• Analytical Thinker: Possess an analytical and detail-oriented mindset, critically evaluating information derived from multiple sources and drawing meaningful conclusions.
• Team Player: Exhibit a strong willingness to collaborate and work cohesively with colleagues, understanding the importance of collective growth and knowledge sharing.
• Adaptability: Demonstrate resilience and adaptability in an ever-changing environment, staying updated with the latest technological advancements and best practices in the field of database administration.

About Us



GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.



Disclosure of your Gender or Sexual orientation is completely Voluntary and not mandatory.



www.ge.com


Additional Information
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Relocation Assistance Provided: No