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    Analytics Data Engineer - Chicago, United States - Softworld, a Kelly Company

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    Contract to Hire

    Job Description

    The Data Engineer will be responsible for designing, implementing, and maintaining scalable data solutions on the Azure platform. You will play a crucial role in collaborating with cross-functional teams to understand business requirements, design efficient data models, and develop robust pipelines to enable data-driven decision-making across the organization.

    Essential Functions

    • Collaborate with stakeholders to gather and understand data requirements, translating them into technical solutions.
    • Design, develop, and optimize data pipelines using Azure services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
    • Implement data ingestion processes from various sources including databases, APIs, and streaming platforms.
    • Develop and maintain data transformation and enrichment processes to ensure data quality and consistency.
    • Work closely with data scientists and analysts to deploy machine learning models and enable advanced analytics.
    • Document technical specifications, data flows, and system architectures to ensure effective knowledge transfer and maintainability.

    Requirements

    • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
    • 8 years of experience working with various Data Analysis, Data Warehousing, Business Intelligence, or ERP software packages (Tableau, Informatica, SAP, Snowflake, Oracle, SQL Server, JDE) preferred
    • Expertise in programming languages, including Structured Query Language (SQL), Python desired
      • Working knowledge on any of the key ETL/data pipeline market tools such as Informatica, Python, dbt, Azure Data Factory is preferred


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