Digital Data Engineering Manager (Multiple Positions)
Digital Data Engineering Manager (Multiple Positions) (Accenture LLP; Houston, TX): 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. Identify and assess complex problems and create solutions that require in-depth evaluation of variable factors which are implemented by the team. Act independently to determine methods and procedures on new assignments. Make decisions that impact the team through regular consultation with senior management. Adhere to strategic direction set by senior management. Interact with client or internal senior management. BASIC QUALIFICATIONS:
Must have a Bachelor's degree in Computer Science (Applied), Technology, Computer Information Systems, Computer Applications, Engineering, or a related field, plus 5 years of progressive post-baccalaureate experience in the IT consulting industry.
- Of the required experience, 5 years of experience must be in each of the following: Designing and developing large scale ETL/DW solutions across multiple data sources; supporting a high availability BI/DW environment involving Informatica, Informatica Scheduler, and Rational Team Concert (RTC) in an onshore/offshore model; SQL Performance Tuning; leading a team in translating business and functional requirements into technical designs; designing and supporting a large ETL deployment in an onshore/offshore model; utilizing QlikView; and, Trading and Risk management, including P&L (Profit & Loss) and Exposure reporting.
- Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.
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