Name of Employer: CHRISTUS Health
Position Title: Data Analytics Engineer II
Position Location: 5101 N. O' Connor Blvd, Irving, TX 75039
Hours: Monday – Friday, 8:00 am to 5:00 pm
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.
Education requirements: Bachelor’s degree in Computer Science, Computer Engineering, Engineering, Math or closely related field.
Experience requirements: 4 years of experience in data engineering.
Special Skills or Other Requirements: Must have experience with each of the following:
3 years of experience in MapReduce, 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.
