Data Engineering, Management, & Governance Specialist - Finance

Accenture is hiring a Data Engineering, Management, & Governance Specialist to build and deploy data solutions for ingestion, transformation, and structuring. The role develops data pipelines and governance processes, supports data quality and compliance, and migrates data to cloud environments.

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

Preferred

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

Large-Scale Data Integration

Data Warehousing

Data Requirements Analysis

Data Design

AWS Data Certifications

Finance Domain Knowledge

Supply Chain Domain Knowledge

Sales Domain Knowledge

Data Governance

Data Security

Regulatory Compliance

Privacy Compliance

Machine Learning

Machine Learning Models

Statistical Analysis

Artificial Intelligence

Data Science

Leadership

Facilitation

Cross-Functional Collaboration

Communication

Business Acumen

Benefits

Medical coverage

Dental coverage

Vision coverage

Life coverage

Long-term disability coverage

A 401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Hybrid work arrangement

Company

Strategy, technology, operations, and AI professional services

Dublin, Dublin, IRL

https://www.accenture.com/

Founded in 1989

10001+ employees

Qualifications

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

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)

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States

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

Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Required skills

Apache Spark, Cloud Data Storage, Data Engineering, Data Governance, Data Management, DevOps and CI/CD, Node.js, Python, SQL, Scheduling and Orchestration, Spark SQL, Streaming Data Pipelines

Preferred skills

Cloud (e.g. AWS) data path certifications

Experience

3+ years