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Accenture

Advises businesses and runs their technology

Data Engineering Manager - Finance Data & Governance

Engineering LeadershipUpdated on Nov 12
Full-time

About the Job

Requirements

  • Minimum of 5 years of hands-on experience with cloud and big data technologies, including 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 of 5 years of experience with cloud data storage, data management, and data services.
  • Minimum of 5 years of experience with the data supply chain, including streaming pipelines, and addressing the challenges of acquiring data and evaluating its value.
  • Minimum of 5 years of experience examining data from multiple sources and sharing insights that provide competitive advantage.
  • Minimum of 5 years of experience with DevOps and continuous integration and continuous delivery (CI/CD) processes.
  • Minimum of 5 years of experience with scheduling and orchestration.
  • A bachelor's degree or equivalent work experience of at least 12 years is required. An associate's degree is accepted with at least 6 years of work experience.

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.
  • Document requirements and technical design documents.
  • Deploy solutions to production environments using continuous integration and continuous delivery, DevOps, and cloud architecture principles.
  • Migrate data from legacy data warehouses and enterprise systems, including enterprise resource planning, finance, and customer relationship management platforms, using cloud architecture principles.
  • Automate data flows for consumption in financial and management reporting, operational analytics, and artificial intelligence use cases.
  • Build business processes that enable data governance.
  • Design and advise on data quality rules, including completeness, validity, and reconciliation to financial control totals, and establish data compliance policies.

Desired Qualifications

  • Experience in large-scale data integration and data warehouse solutions, including Databricks and Snowflake.
  • Ability to lead and facilitate design sessions with business customers and the business intelligence team to derive data requirements and data design information.
  • Cloud data path certifications, such as AWS certifications.
  • Business acumen and domain knowledge in areas such as finance, supply chain, or customer data, including the ability to identify nuances in data meaning, such as differences in revenue or cost definitions across systems.
  • Understanding of governance and security best practices and organizational policies, procedures, and protocols for regulatory and privacy compliance.
  • Basic knowledge of machine learning, models, and statistical analysis to collaborate with data scientists and business leaders.
  • Demonstrable knowledge of artificial intelligence, machine learning, data science, and other relevant technical domains.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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