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Erlanger

    Data Engineer - Erlanger, United States - ADM

    ADM
    ADM Erlanger, United States

    3 weeks ago

    Default job background
    Description
    80887BR

    Job Title:

    Data Engineer

    Department/Function:

    Information Technology

    Job Description:

    Data Engineer – Data Analyst

    This is an exempt level position.

    Summary:


    Data Engineer/Analyst will work on designing, building, and implementing a data foundation to support a strategic analytics project that drives strategic growth for ADM.

    This involves liaising with functional teams that build or acquire the underlying data, application owners to understand raw or source data structures, and end users to accurately design strategic data marts.

    Finally, designing and building data pipelines, ETL/ELT integrations, constructing and modifying data marts, preparing (cleaning, transforming) data, and collaborating with extended team members to design impactful business solutions.

    Data Engineer needs to have specifically expert technical knowledge of Python, AzureAI and RAG and platforms and software technology (ETL/ELT, SQL, PySpark, Power BI, Python), deep expertise in data management techniques, ability to drive effective support of data analysis and model management, and experience with IT project management practices

    Responsibilities:

    Standardize data and reporting across businesses and teams to enable consistency and quality of key business data

    Design and develop enterprise data warehouse platform that conforms to consistent methodologies, standards and industry best practices

    Design, develop, test and document data integrations and assist with deployment, validation and hypercare

    Maintain and support Azure integrations like ADF, Synapse and AI using technical documentation

    Participate in designing overall logical & physical data warehouse and data mart models and architectures to support business requirements

    Develop and maintain SQL, PL/SQL, PySpark, Python code as needed

    Assist with review to confirm technical feasibility of integration development objects based on integration principles and best practices

    Understand and navigate a wide array of source data systems (enterprise data warehouses, relational databases, IT systems, in house and COTS applications, documents, APIs, unstructured data, big data, Vector database etc.)

    Analyze data and assist with developing insights (e.g., via data visualization tools like Power BI / SAC) to enable business decision making

    Propose new methodologies to demonstrate data to improve existing methodologies

    Developing prototypes and proof of concepts for required solutions

    Implementing information security standards in enterprise data warehouse

    Prepare and present ideas and recommendations to colleagues and management

    Document solutions through high/low level design documentation

    Learn new groundbreaking data science and analytic tools as needed

    Contribute to development of the overall solution approach

    Recommend solutions to address gaps

    Assist with development estimation

    Supervise and review activities of consultants

    Requirements:

    4-year Bachelor's degree or equivalent in IT, Computer Science, Science, Engineering, Statistics, Programming, Business Analytics, Mathematical or related field

    At least 6 years of enterprise BI and Analytics technical experience implementing data warehouse and data marts in an Agile environment

    5 years of recent experience using data integration, ETL, ELT, data replication, and data warehouse automation tools such as Qlik Replicate, Microsoft Azure Data Factory, Databricks and Microsoft SQL Server Integration Services

    5 years of recent experience in data processing using SQL, PySpark, Python

    Experience sourcing data from ERP data sources, e.g., SAP, JD Edwards, PeopleSoft, Oracle EBS in support of analytic product development and business transformation projects

    Experience with MPP systems, Azure Synapse, ML and AI preferred

    Experience with databases like SAP HANA,SQLMI, Synapse

    Experience in delivering Cloud based Data Solutions in Azure

    Experience with Data Virtualization technologies and tools, Denodo preferred

    Working knowledge of BI architecture, dimensional modeling, data warehousing best practices, and data integration standard methodologies

    Experience in delivering solutions using iterative development methodologies like Agile, KanBan, DevOps

    Experience working with Big Data technologies such as PySpark, Kafka, DataBricks, Hive, or equivalent

    Experience with visualization technologies and services including Microsoft Power BI and SAP Analytics Cloud is plus.

    Working knowledge of Python ML libraries like Scikit-learn/PyTorch or Azure ML

    Experience working in DevOps / CICD framework

    High accountability with a demonstrated ability to deliver

    Strong communication skills including design documentation

    Strong collaboration skills working with architecture, design and development teams

    "AJCIND"


    REF:

    80887BR

    Req/Job ID:

    80887BR

    City:

    Erlanger

    State:

    KY - Kentucky

    Ref ID:

    #LI-SU1

    :

    #LI-Onsite

    \t:

    #IncludingYou

    Diversity, equity, inclusion and belonging are cornerstones of ADM's efforts to continue innovating, driving growth, and delivering outstanding performance.

    We are committed to attracting and retaining a diverse workforce and create welcoming, truly inclusive work environments — environments that enable every ADM colleague to feel comfortable on the job, make meaningful contributions to our success, and grow their career.

    We respect and value the unique backgrounds and experiences that each person can bring to ADM because we know that diversity of perspectives makes us better, together.


    We are committed to ensuring all qualified applicants receive consideration for employment regardless of race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law.

    We welcome everyone to apply, especially those individuals who are underrepresented in our industry, as we strive to ensure our workforce represents the world that we help to feed:

    people of color, women, gender non-conforming, LGBTQIA+, veterans and persons with disabilities.

    For more information regarding our efforts to advance Diversity, Equity, Inclusion & Belonging, please visit our website here:

    Diversity, Equity and Inclusion | ADM. )

    :

    Benefits and Perks

    Enriching the quality of life for the world begins by taking care of our colleagues. In addition to competitive pay, we support your diverse needs with a comprehensive total rewards package to enhance your well-being, including:

    Physical wellness – medical/Rx, dental, vision and on-site wellness center access or gym reimbursement (as applicable).


    Financial wellness – flexible spending accounts, health savings account, 401(k) with matching contributions and cash balance plan, discounted employee stock purchasing program, life insurance, disability, workers' compensation, legal assistance, identity theft protection.

    Mental and social wellness – Employee Assistance Program (EAP), Employee Resource Groups (ERGs) and Colleague Giving Programs (ADM Cares).

    Additional benefits include:

    Paid time off including paid holidays.

    Adoption assistance and paid maternity and parental leave.

    Tuition assistance.

    Company-sponsored training and development resources, such as LinkedIn Learning, language training and mentoring programs.

    *Benefits may vary for bargained locations, confirm benefit eligibility with your recruiter.
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