Data Engineering Associate Manager_

Charlotte

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 tools and techniques to develop quantitative and qualitative business insights for Accenture or our clients.

+ Integrate systems and data quickly and effectively.

+ Apply statistical and mathematical knowledge, tools, and techniques to find relationships between and among variables.

+ 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 solutions and identify 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 methods and procedures set by management.

+ 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 3 years of experience in the IT consulting industry.

Must have 3 years of experience in each of the following:

+ Managing, designing, and developing large scale Data storage solutions across multiple data sources using Data Warehouse, Data Mart, and Data Lake;

+ Working on process redesign and re-engineering of complex integration solutions with large volumes of data, multiple data sources and formats, or a high rate of data; and

+ Utilizing big data analytics platforms including Apache Hadoop, Spark, Data Lakes, and Databricks, and analytics, data management, and data integration services provided on Microsoft Azure, Amazon AWS, and Google GCP.

Must have 1 year of experience in each of the following:

+ Developing Spark applications utilizing Python or SAS;

+ Performing SQL Performance Tuning and Query Optimization utilizing Indexing, Partitioning, and Denormalization;

+ Managing ETL Workflow, including performing data profiling, data migration, extraction, and transformation;

+ Utilizing Agile delivery methodologies to translate business and functional requirements into technical designs; and

+ Designing and implementing data engineering, ingestion, and curation functions on Azure, AWS, or GCP.

Must have willingness and ability to travel domestically approximately 50% of the time to meet client needs.

To apply, please click the ‘APPLY’ button.

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