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Sr Data Engineer

1 month ago

Schaumburg, United States Top Prospect Group Full time

Must Have AZURE DATABRICKS & SQL - Migrating SQL Data Warehouse to Cloud

145-155K + Bonus + Great Bene's / Onsite / Schaumburg, IL


Essential Duties and Responsibilities:

The responsibility of Data Engineer encompasses the entire lifecycle of the Data Warehouse environment. This includes the design, development, implementation, operation, and ongoing support.

As a Subject Matter Expert in technical requirements, this position will play a crucial role in supporting and implementing data projects, as well as engaging effectively with users and other IT staff.

  • Provide support in designing and overseeing enterprise-grade data pipelines and data stores.
  • Implement automation and streamline processes to optimize the entire data and analytics platform, ensuring efficient throughput and high-performance outcomes.
  • Recognize, devise, and execute internal process enhancements, including automation of manual tasks, optimizing data delivery, and redesigning architecture or infrastructure to enhance scalability.
  • Collate large, intricate datasets that align with functional and non-functional business demands.
  • Develop processes that facilitate data transformation, manage data structures, metadata, dependencies, and workload management.
  • Collaborate with business users to understand functional and data requirements, contributing to the enhancement of data models and pipelines.
  • Apply analytical and problem-solving skills to diagnose and resolve intricate technical issues.
  • Create, maintain, and continuously enhance scalable data pipelines, while also developing new data source integrations to accommodate the growing volume and complexity of data.
  • Designing, implementing, and managing data extraction, transformation, and loading (ETL) processes.


Qualifications/Competencies:

  • Must have experience deploying modern data solutions leveraging components like Azure functions, Azure Synapse, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL.
  • Strong level of understanding on Azure Synapse, ADLS, and Azure DevOps.
  • Exhibit an understanding of Data Lake architectures, including raw, enriched, and curated layer concepts, and ETL/ELT operations.
  • Exhibit a solid understanding of database design, data warehousing concepts, big data platforms, and ETL operations.
  • Experience working with data integration techniques & self-service data preparation.
  • Experience in requirements analysis, design, and prototyping.
  • Experience with DevOps tools like Azure DevOps, Jenkins, Maven etc.
  • Experience in building/operating/maintaining fault tolerant and scalable data processing integrations.