Data Engineering, Management, & Governance Specialist - Finance

Accenture Plc

  • Cleveland, OH
  • 2 days ago

    Highlights

    You Are: As a Data Engineering, Management & Governance professional, you will play a pivotal role in building data solutions for ingestion, transformation, and structuring data, utilizing both vendor and open-source tools for building, migrating, and deploying data pipelines. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work.

    Numbers & Facts

    LocationCleveland, OH

    Description

    We Are:

    The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work.

    With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

    You Are:

    As a Data Engineering, Management & Governance professional, you will play a pivotal role in building data solutions for ingestion, transformation, and structuring data, utilizing both vendor and open-source tools for building, migrating, and deploying data pipelines.

    Position Responsibilities:

    • Apply data engineering principles to create reusable workflows for data ingestion, quality assurance, transformation, and optimization.
    • Design, Build and test scalable data pipelines using extract, transform, and load tools, including validating outputs against source totals (e.g., financial balances, transaction counts).
    • Document requirements and technical design documents.
    • Deploy solutions to production environments using CICD dev ops and cloud architecture principles.
    • Migrate data from legacy data warehouses using cloud architecture principles
    • Automate the flow of data for consumption.
    • Build business processes that enable data governance (e.g., stewardship of financial, customer, or product master data).
    • Design and advise on data quality rules and set up effective data compliance policies.

    Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

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