Data Engineer I
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Role details
Tech stack
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Job description
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.)
Designs, develops, implements, tests, documents, and operates 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
Ensures quality of technical solutions as data moves across Centene’s environments
Provides insight into the changing data environment, data processing, data storage, and utilization requirements for the company and offer suggestions for solutions
Develops, constructs, tests, and maintains architecture using programming language and tools
Identifies ways to improve data reliability, efficiency, and quality; use data to discover tasks that can be automated
Helps maintain the integrity and security of company data
Performs other duties as assigned
Complies with all policies and standards
Requirements
AI tools,Big Data,large data sets,C#,Cloud Applications,Cloud Computing,continuous deployment,continuous integration,Data Analysis,data ingestion,Data Mining,data extraction,data pipelines,data pipeline,Data Manipulation,data transformation,data validation,DevSecOps,distributed systems,Load Runner,Quality Center,QTP,computer science,Java (Programming Language),JavaScript (Programming Language),Microsoft SQL Servers,SQL Server,Power BI,Programming Language,Programming Tools,Python,Python (Programming Language),SQL (Programming Language),SQL,Snowflake,sql code,SQL skills,Tableau,Workday,Soft Skills,advanced analytics,automate,Business Intelligence Software,dashboards,Data Collection,collect data,Data Quality,establish facts,mathematics,statistics,metrics,Programming Concepts,QA testing,Quality Assurance,performing root cause analysis,hard skills,Power Tool
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