Data Engineering, Management, & Governance Specialist - Finance

• 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.

Finance, Artificial Intelligence (AI), Ecosystems, Investment Strategy, Open Source, Data Management, Data Migration, Quality Assurance, Database Extract Transform and Load (ETL), Test Data

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.