Data Engineer
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Job Description
- Undertake primary ownership in driving self and team effort across all phases of a project lifecycle.
- Translate business requirements into technical terms and drive team effort to design, build and manage technology solutions that solve business problems.
- Apply appropriate development methodologies (e.g. agile, waterfall) and best practices (e.g.: mid-development client reviews, embedded QA procedures, unit testing) to ensure successful and timely completion.
- Partner with Project lead/ Program lead in delivering projects and assist in project management responsibility like - project plans, people management, staffing and risk mitigation.
- Collaborate with other team members across the globe and ensure seamless communication and sharing/ undertaking tasks.
- Manage team of diverse skill sets (programmer, cloud analyst, BI developer, reporting, operations, etc.); Mentor/coach the junior members in the team.
- Lead task planning and task distribution across team members and ensure timely completion with high quality and report accurate status to seniors.
- Lead the project deliverables such as business case development, solution vision and design, user requirements, solution mockup, prototypes, and technical architecture, test cases, deployment plans, operations strategy and planning, etc..
- Manage direct / indirect client communications as per the assigned responsibility in the project.
- Exhibit outlook to bring continuous improvement, innovation and exhibit capability to learn new areas (technology, business domain, project management process) and drive the similar effort of team members.
- Understand the problem statement, client requirements and design and build complex solutions using Programing languages, Big data service platform, etc.
- Ability to take right and timely decision on problem solving by considering broader picture, especially on approach, technical nuances and planning.