Data Engineering Associate Manager

Data Engineering Associate Manager (Accenture LLP; San Francisco, CA): Accenture LLP has multiple openings for the position of Data Engineering Associate Manager in San Francisco, CA, 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, or related field, plus 5 years of progressive post-baccalaureate experience in the IT consulting industry.

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

• Managing, designing, and developing large scale Data Warehousing solutions across multiple data sources;
• Working on process redesign and re-engineering of complex integration solutions; and
• Utilizing big data analytics platforms.

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.

Pursuant to?the California Transparency Bill,?the offered wage for this?role?is $157,800.00 per year.

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