{"start":0,"count":1,"data":[{"publicDescription":"Position Purpose:
\nDevelops and operationalizes data pipelines to make data available for consumption (reports and advanced analytics), including data ingestion, data transformation, data validation / quality, data pipeline optimization, and orchestration. Engages with the DevSecOps Engineer during continuous integration and continuous deployment.
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\nEducation/Experience:\n\n\t- A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 2 – 4 years of related experience.\n\t
- Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.\n
\n
\nTechnical Skills: One or more of the following skills are desired.\n\n\n\t- Experience with Big Data; Data Processing\n\t
- Experience with Other: diagnosing system issues, engaging in data validation, and providing quality assurance testing\n\t
- Experience with Data Manipulation; Data Mining\n\t
- Experience with Other: • Experience working in a production cloud infrastructure\n\t
- Experience with one or more of the following C# (Programming Language); Java (Programming Language); Programming Concepts; Programming Tools; Python (Programming Language); SQL (Programming Language)\n\t
- Knowledge of Microsoft SQL Servers; SQL (Programming Language)\n
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\nSoft Skills:
\nIntermediate - Seeks to acquire knowledge in area of specialty
\nIntermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions
\nIntermediate - Ability to work independently
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\nResponsibilities:\n\n\n\t- Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (scripts, programs, automation, assisted by automation, etc.)\n\t
- Designs, develops, implements, tests, documents, and operates large-scale, high-volume, high-performance data structures for business intelligence analytics\n\t
- Designs, develops, and maintains real-time processing applications and real-time data pipelines\n\t
- Ensure quality of technical solutions as data moves across Centene’s environments\n\t
- Provides insight into the changing data environment, data processing, data storage, and utilization requirements for the company and offers suggestions for solutions\n\t
- Develops, constructs, tests, and maintains architectures using programming language and tools\n\t
- Identifies ways to improve data reliability, efficiency, and quality; use data to discover tasks that can be automated\n\t
- Performs other duties as assigned\n\t
- Complies with all policies and standards\n
\n","id":1220,"title":"Data Engineer II"}]}