Operations Configuration and Integration Analyst

Quest Technology Management; Canada; Remote; CAD 80,000 - 120,000; Full time

Job summary

A leading company in technology management is seeking a Data Engineer to enhance health outcomes through robust data pipelines and analytics. This position involves designing data structures, ensuring high-volume data processing, and collaborating with DevSecOps for deployment. If you are passionate about data and possess a quantitative degree along with relevant experience, we welcome your application.

Qualifications

• Requires 2 – 4 years of related experience.
• Experience with batch processing and data validation is a plus.
• Experience in cloud infrastructure is desirable.

Responsibilities

• Develops and operationalizes data pipelines for advanced analytics.
• Ensures quality of technical solutions during data processing.
• Identifies improvements for data reliability and efficiency.

Skills

Data Processing

Data Manipulation

Data Mining

Flexibility with work hours

Education

Bachelor’s degree in a quantitative or business field

Tools

Control-M scheduler

Informatica/IDMC

Microsoft SQL Servers

C#

Java

Python

SQL

Job description

Description

You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene’s technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility.

Position Purpose:Develops 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.

• 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
• Ensure 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 offers suggestions for solutions
• Develops, constructs, tests, and maintains architectures using programming language and tools
• Identifies ways to improve data reliability, efficiency, and quality; use data to discover tasks that can be automated
• Performs other duties as assigned
• Complies with all policies and standards

Education/Experience:A Bachelor’s degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science).
Requires 2 – 4 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.

Preferred Skills:

• Experience with batch processing support using Control-M scheduler and Informatica/IDMC systems
• Flexibility with work hours with occasional weekend/late night support
• Reconcile and triage data issues
• Conduct extensive analysis and revision of batch schedules to resolve issues

Technical Skills:

• One or more of the following skills are desired.
• Experience with Big Data; Data Processing
• Experience with Other: 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
• Experience with one or more of the following C# (Programming Language); Java (Programming Language); Programming Concepts; Programming Tools; Python (Programming Language); SQL (Programming Language)
• Knowledge of Microsoft SQL Servers; SQL (Programming Language)

CLICK HERE FOR DETAILS