Data Engineering, Management Governance Specialist - Finance

Position: Data Engineering, Management, & Governance Specialist - Finance
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.

Here's what you need:
Minimum of 3 years of hands-on experience on Cloud and Big Data technologies such as serverless data processing, Spark/SparkSQL, batch and streaming services, event-driven data pipelines, cloud databases, and programming languages such as Python, SQL, and Node.js Minimum 3 years of experience in following:

Cloud data storage, data management and data services

Data supply chain including streaming pipelines to help address the challenges of acquiring data, evaluating its value, distilling & analyzing.

Examine data from multiple sources, and share insights which provide competitive advantage

Minimum 2 years of experience with:

Devops and CI/CD processes

Scheduling and orchestration

Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
Bonus points if you have:
Experience in large-scale data integration and data warehouse solutions

Ability to lead and effectively facilitate design sessions with business customers and the BI team to derive data requirements and data design information

Cloud (e.g. AWS) data path certifications

Business acumen and domain knowledge (e.g., Finance, Supply Chain, Sales) to catch nuances in the meaning of the data, collaborate with cross-functional teams to better understand their areas of expertise, and communicate effectively with their leadership teams.  A good understanding of governance and security best practices as well as their organization’s policies, procedures, and protocols to maintain the required regulatory and privacy compliance.

Basic knowledge of machine learning (ML) and models and statistical analysis to better collaborate with data scientists and business leaders

Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location,…