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Senior Data Engineer – IDMC
| Company | Centene |
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| Location | Michigan, USA |
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| Salary | $85300 – $158100 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Mid Level, Senior |
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Requirements
- A Bachelor’s degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
- Requires 4 – 6 years of related experience
- Proven expertise in IDMC and Snowflake
- Knowledge of Python and Snowpark is advantageous
- Strong understanding of cloud concepts related to AWS, Snowflake, and the Informatica IDMC platform
Responsibilities
- Develops and operationalizes data pipelines to make data available for consumption (reports and advanced analytics)
- Helps guide the design and implementation of complex data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction
- Manage and optimize data engineering processes focused on streaming data
- Utilize IDMC and Snowflake for data warehousing tasks
- Leverage Python and Snowpark for advanced data operations
- Provides guidance to data engineers in the design, development, implementation, testing, documenting, and operating of large-scale, high-volume, high-performance data structures for business intelligence analytics
- Designs, develops, and maintains real-time processing applications and real-time data pipelines
- Ensure quality of technical solutions as data moves across Centene’s environments
- Provides senior level knowledge and insight into the changing data environment, data processing, data storage, and utilization requirements for the company and drives the team toward viable solutions
- Develops, constructs, tests, and maintains architectures using advanced programming language and tools
- Drives ways to improve data reliability, efficiency, and quality and deploys a solution; use data to discover tasks that can be automated
- Performs other duties as assigned
- Complies with all policies and standards
Preferred Qualifications
- Experience with Big Data; Data Processing
- Experience with diagnosing system issues, engaging in data validation, and providing quality assurance testing
- Experience with Data Manipulation; Data Mining
- Experience working in a production cloud infrastructure
