Data Analytics Engineer II

• Responsible for analyzing and understanding data sources, participating in requirement gathering, and providing insights and guidance on data technology and data modeling best practices.
• Analyze ideas and business and functional requirements to formulate a design strategy.
• Act as a tenant to draw out a workable application design and coding parameters with essential functionalities.
• Work in collaboration with the team members to identify and address the issues by implementing a viable technical solution that is time and cost-effective and ensuring that it does not affect performance quality.
• Develop code following the industry’s best practices and adhere to the organizational development rules and standards.
• Involved in the evaluation of proposed system acquisitions or solutions development and provides input to the decision-making process relative to compatibility, cost, resource requirements, operations, and maintenance.
• Integrate software components, subsystems, facilities, and services into the existing technical systems environment; assesses the impact on other systems and works with cross-functional teams within information Services to ensure positive project impact. Installs configure and verify the operation of software components.
• Participate in the development of standards, design, and implementation of proactive processes to collect and report data and statistics on assigned systems.
• Participate in the research, design, development, and implementation of application, database, and interface using technologies platforms provided.
• Research, design, implement, and manage programs.
• Fix problems arising across the test cycles and continuously improve the quality of deliverables.
• Reference and document each phase of development for further reference and maintenance operation.

Education requirements: Bachelor’s degree in Computer Information Systems, Computer Science, Engineering, Math, or related field.

Experience requirements: 5 years of IT experience.

Special Skills or Other Requirements: Must have experience with each of the following:

• 5 years of experience with design, architecture and development of Enterprise scale platforms built on opensource frameworks.

• 3 years of experience in MapReduce, Spark programming.

• 3 years of experience developing analytics solutions with large data sets within an OLAP and MPP architecture.