Data Engineering Associate Manager

Charlotte, NC, US • Posted 1 day ago • Updated 12 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Data Engineering
  • Data Governance
  • Real-time
  • Intellectual Property
  • Mathematical Modeling
  • Optimization
  • Analytical Skill
  • Strategic Management
  • Service Level
  • Computer Science
  • Information Systems
  • Software Engineering
  • Mechanical Engineering
  • Electrical Engineering
  • Aerospace
  • Industrial Engineering
  • Computer Hardware
  • IT Consulting
  • Data Architecture
  • Data Warehouse
  • Data Marts
  • Data Lake
  • PySpark
  • Apache Kafka
  • Streaming
  • Big Data
  • Data Management
  • Apache Hadoop
  • Snow Flake Schema
  • Databricks
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Management
  • Terraform
  • Microsoft Azure
  • JSON
  • Apache Spark
  • Python
  • SAS
  • Microservices
  • API
  • Performance Tuning
  • Query Optimization
  • Extract
  • Transform
  • Load
  • ELT
  • Workflow
  • Data Cleansing
  • Migration
  • Data Modeling
  • Data Security
  • Regulatory Compliance
  • Agile
  • Scrum
  • Kanban
  • Functional Requirements
  • IT Architecture
  • IT Service Management
  • Requirements Elicitation
  • Software Design
  • Collaboration
  • Financial Services
  • Professional Services
  • Revenue Growth
  • Innovation
  • Leadership
  • Cloud Computing
  • Artificial Intelligence
  • Global Delivery
  • IT Operations
  • AIM
  • Military
  • SAP BASIS
  • Law
  • Employment Authorization
  • Legal
  • LOS
  • Recruiting

Summary

Data Engineering Associate Manager (Accenture LLP; Charlotte, NC): Accenture LLP has multiple openings for the position of Data Engineering Associate Manager in Charlotte, NC, and the job duties are as follows:

  • Leverage analytical and data management tools and techniques to develop quantitative and qualitative business insights for Accenture or our clients.
  • Integrate systems and data efficiently and effectively.
  • Develop scalable data infrastructure inline with data governance practices to enhance system performance and build integrations for batch or real-time consumption patterns.
  • Develop intellectual property involving specific analytical methodologies, mathematical modeling, or optimization techniques and their applications to business issues.
  • Translate business issues into specific requirements to develop analytic and operational solutions and manage appropriate data to support the solution.
  • Collaborate with Accenture and/or external consulting teams to address business issues and influence change using strategy, industry, and analytical skills.
  • Analyze and solve moderately complex problems.
  • Understand strategic direction set by senior management and implement senior management's strategic direction and procedures.
  • Work with team members to meet deliverable requirements, service level measures, and specific targets.

BASIC QUALIFICATIONS:

Must have a bachelor's degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Industrial Engineering, Computer Hardware, Computer Software, or related field, plus 5 years of experience in the IT consulting industry.

Must have 4 years of experience in each of the following:
  • Designing and developing data architecture solutions using Data Mesh, Fabric Architectures, Data Warehouse, Data Mart, and Data Lake;
  • Creating high-performance data pipelines and integrated solutions for large volumes of streaming data utilizing PySpark, Go, Kubeflow, Kafka Streams, Airflow and Dockers;
  • Utilizing big data and data management platforms, including Hadoop, Spark, Snowflake, and Databricks;
  • Designing, implementing, and monitoring data services on cloud platforms, including Azure, AWS, and Google Cloud Platform while managing infrastructure-as-a-code through technologies such as Terraform and Azure JSON configuration;
  • Developing Spark applications with Python and SAS;
  • Developing microservices and API endpoints, performance tuning, and query optimization using Indexing, Partitioning, and Denormalization;
  • Developing ETL/ELT workflows, including data cleansing, classification, migration, profiling, and transformation;
  • Experience in AI Governance and Data Modeling projects including knowledge of Data Security, Encryptions and Enterprise Compliance practices in financial services industry;
  • Utilizing Agile delivery methodologies for iterative development within Scrum and Kanban frameworks to lead small teams, plan team capacity and prioritize deliverables, effectively translating business and functional requirements into technical architecture and design implementations; and
  • Providing IT services such as requirement gathering, solution design, and techno-function collaboration with business and technical teams, and domain knowledge of the financial services industry.

Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.

To apply, please click the 'APPLY' button.

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About Accenture
Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.
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Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 or send us an email or speak with your recruiter.

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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

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.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80167375
  • Position Id: 55aa679180c40b1df4fda368b253cbd3
  • Posted 1 day ago
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