Data Engineering, Management and Governance Manager
Data Engineering, Management and Governance Manager (Accenture LLP; Houston, TX): Accenture LLP has multiple openings for the position of Data Engineering, Management and Governance Manager in Houston, TX, and the job duties are as follows:
- Analyze, design, build, test, implement and maintain multiple system components or applications.
- Develop or update project plans for information technology projects, including project objectives, technologies, systems, information specifications, schedules, funding, and staffing.
- Maintain applications according to SLAs and manage project execution to ensure adherence to budget, schedule, and scope.
- Work across the Service Delivery Lifecycle on engineering solutions for new system rollouts, major/minor enhancements, and/or ongoing maintenance of existing applications.
- Design, architect, and code applications to functional and technical programming standards.
- Develop system specifications and establish MLops/Dataops for complex systems.
- Identify and assess complex problems that require in-depth evaluation of variable factors and create solutions for implementation by the team.
- Supervise a team to gather and interpret user/system requirements into design specifications.
- Conduct project and issue management (including status reporting, issue reporting, and ETC/budget reporting) for assigned scope of work and make decisions that impact the team through regular consultation with senior management.
- Adhere to strategic direction set by senior management/client and prototype solutions.
- Interact effectively with client or internal senior management.
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 industry.
Must have 5 years of experience in each of the following:
- Designing, developing, and supporting RESTful APIs, and database components adhering to SDLC best practices;
- Developing cloud technologies, including AWS utilizing DevOps or Agile methodology;
- Managing edge/Cloud interfaces for the industrial OT/IT systems;
- Coding and deploying applications using DevOps practices, AWS, Vault, Git or Docker;
- Utilizing frontend technologies including Angular, Typescript, and Nodejs;
- Developing and maintaining applications and extract, transform, and load (ETL) using Python, AWS, JavaScript, and Shell;
- Working with SQL databases, including PostgreSQL, SQL Server, or Snowflake;
- Design and Development and integration with Data Lake and real time integration using Kafka;
- Creating solutions for maintaining data for machine learning applications; and
- Driving key delivery orchestration, design decisions, and suggesting improvements on ongoing issues.
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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