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Middletown

    Manager - Data Engineering - Middletown, United States - Softworld, a Kelly Company

    Softworld, a Kelly Company
    Softworld, a Kelly Company Middletown, United States

    2 weeks ago

    Default job background
    Description

    Job Title: Manager - Data Engineering

    Location:     Middletown PA 17057

    Onsite Requirements:

    • Data Engineering Management
    • SAP (HANA, BW, ERP, BOBJ)
    • Data Pipelines / Data Lakes

    Job Overview:

    • Lead the design, development, and implementation of data architectures, data pipelines, and data systems.
    • Manage a team of data engineers and provide technical guidance and mentorship.
    • Collaborate with cross-functional teams, business partners, stakeholders including c-suite to understand business requirements, promote best practice & trade-offs, and to provide solutions that meet the organization's goals.
    • Develop and maintain Data as an asset.
    • Optimize data processes for efficiency, reliability, and scalability.
    • Act as a Subject Matter Expert to the organization for end-to-end data pipeline.
    • Operate large-scale data warehouse solutions and big data platforms.
    • Stay up-to-date with emerging technologies, trends, and best practices in data engineering.

    What your background should look like:

    • Overall 10+ years of experience in building complex IT solutions more focused on data pipeline (Data Engineering, Data Warehousing, DataLake, DeltaLake, Bigdata, Data Streaming, unstructured data, and data modeling for BI/AI solutions)
    • 5+ years of experience in leading global technical team and managing senior level stakeholders.
    • Strong hands-on experience in data architecture, data modeling, Could data engineering and ETL processes.
    • Accomplished in scaling teams, managing multiple geographic locations, and inspiring a team to deliver high quality projects using Cloud and on-premises platforms.
    • Expertise in dealing with data environments with high-data variability, and high-data volumes.
    • Expertise in integrating data pipeline from various systems like SAP, MES, Salesforce,
    • Clickstream, Chatbot and External unstructured Data leveraging various ingestion patterns.
    • Demonstrated ability to build consensus among many stakeholders.
    • Excellent communication skills and ability to interact with all levels of end users and technical resources.
    • Ability to manage multiple projects and priorities in a fast-paced environment.

    We Value

    • AWS certification
    • Prior working experience with SAP HANA, SAP BW, or other tools compatible with SAP ERP environments
    • Having prior experience with one or more SAP ERP functional module
    • Prior experience using SAP BOBJ or Tableau or other Viz tools.
    • Prior experience working with Data Scientists and MLOPS teams.

    Education:

    bachelor's or master's degree in computer science, Information Systems, or a related field.

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