Overview
Remote
On Site
Full Time
Skills
FOCUS
Real-time
Extraction
Streaming
API
Management
Data Marts
Scalability
Data Analysis
Data Modeling
Analytics
Extract
Transform
Load
Microsoft Azure
Data Lake
Databricks
Microsoft Power BI
Database
Data Warehouse
Data Validation
Data Quality
Meta-data Management
Data Governance
Data Visualization
Scripting
Ruby
Perl
Java
Scala
Python
Web Applications
Web Services
SOAP
Genesys
Salesforce.com
Intranet
Health Care
Job Details
Job Description
Job Description
Job Summary
Responsible for collecting, storing, processing, and analyzing large sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. He/she will also be responsible to follow architecture and best practices used across the enterprise.
Knowledge/Skills/Abilities:
Job Qualifications
REQUIRED QUALIFICATIONS:
PREFERRED QUALIFICATIONS:
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Job Description
Job Summary
Responsible for collecting, storing, processing, and analyzing large sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. He/she will also be responsible to follow architecture and best practices used across the enterprise.
Knowledge/Skills/Abilities:
- Define ideal Architecture, Evaluating tools and Frameworks, Standards & Best Practices for implementing scalable business solutions
- Implement Batch and Real-time data ingestion/extraction processes through ETL, Streaming, API, etc., between diverse source and target systems with structured and unstructured dataset
- Experience with data design, managing data marts and designing tables is required.
- Design and build data solutions with an emphasis on performance, scalability, and high-reliability
- Code, test, and document new or modified data systems to create robust and scalable applications for data analytics
- Build data model for analytics and application layers
- Working closely with multiple teams and Business partners, for collecting requirement and providing optimal solution
- Ability to participate in troubleshooting technical issues while engaged with infrastructure and vendor support teams.
Job Qualifications
REQUIRED QUALIFICATIONS:
- 3 years of progressive experience using data, building ETLs (extract, transform, load), using disparate data sources fordata models and analysis, and familiarity with data visualization tools and scripting tools such as Python, Ruby or Perl.
- Experience working on MS Azure databases, Datalake, Databricks is required
- Experience working with Power Bi reports is required
- Strong experience on Database technologies, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance
PREFERRED QUALIFICATIONS:
- 5+ years of experience using data, building ETLs, using disparate data sources for data models and analysis and familiarity with data visualization tools and scripting tools such as Python, Ruby or Perl.
- Experience in the healthcare industry
- Experience with programming language such as, Java/Scala/Python, etc.
- Experience implementing Web application and Web Services APIs (REST/SOAP)
- Experience with CRMs like Genesys and Salesforce platforms is highly preferred
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.