Analytic Data Engineer

RADGOV INC
Pittsburgh, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 177K

Job location

Remote
Pittsburgh, United States of America

Tech stack

Azure
Business Intelligence
Unix
Cloud Computing
Databases
Data as a Services
Data Integration
ETL
Data Systems
IBM DB2
Fault Tolerance
Healthcare Effectiveness Data and Information Set
Python
Oracle Applications
Power BI
Cloudera
SQL Databases
Teradata
Workflow Management Systems
Google Cloud Platform
Spark
PySpark
Data Management
Tools for Reporting
Data Pipelines
Databricks

Requirements

Candidate must complete "Senior Analytic Data Engineer (Python/Power BI) Glider assessment" Preferred Experience 3 years of experience with data pipeline and workflow management tools (e.g., Apache Spark(Dataproc), Google Cloud Platform Tools, Databricks, PySpark). 3 Years of experience building ETL and Data Integration pipelines in Python, PySpark and knowledge of Informatica is a plus 3 years of experience in a reporting tool like Power BI & Tableau. (Power BI preferred) 3 years of experience working with On Prem databases like Oracle, Teradata and DB2 3 years of experience with Cloud platforms (Google Cloud Platform and Azure) and their respective data services 3 years of deep SQL experience & Unix experience 3 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare. Hedis experience is a big plus. 3 years of experience translating requirements, design mockups, prototypes or user stories into technical designs 3 years of experience with data-related code that is fault-tolerant, efficient, and maintainable

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