Job Description
Overview
The Data Engineering Lead is responsible for managing the development and support of internally built or supported ETL/ELT processes and Azure Data Services, including Azure Data Factory, Azure Databricks, Big Data, and streaming solutions. This role involves gathering business requirements, designing data models, and developing comprehensive data solutions.
Responsibilities
- Analyze, understand, and document business requirements to design data-driven solutions that align with organizational objectives.
- Expertise in ETL methodologies, Big Data, and Data Warehousing principles, including architecture design, data modeling, and performance optimization.
- Design, develop, test, optimize, and deploy ETL pipelines using Azure Data Factory (ADF), Azure Databricks, and Azure Data Lake Storage.
- Familiarity with leading ETL tools such as Talend, Informatica, and Pentaho for building scalable ETL/ELT workflows is a plus.
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