Data Analytics Engineer II - IM Enterprise Data

Summary of Duties

• 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.
• Integrates 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.
• Participates in the development of standards, design, and implementation of proactive processes to collect and report data and statistics on assigned systems
• Participates in the research, design, development, and implementation of application, database, and interface using technologies platforms provided.
• Researching, designing, implementing, and managing 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.

Bachelor’s degree in Computer Science, Computer Engineering, Engineering, Math or closely related field.

4 years of experience in data engineering.

3 years of experience in Map Reduce, and Spark programming.

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

4 years of experience with design, architecture and development of Enterprise scale platforms built on open-source frameworks.

3 Years of experience in SQL environment.

2 Years of experience in ETL techniques and frameworks.