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…