Senior Data Engineer
Senior Data Engineer
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- Hands-on skills in interfacing Epic (using Epic Clarity/ Caboodle and Epic Interfaces such as HL7) with relational systems and web apps is a MUST.
- Ensure analytics infrastructure and associated systems meet business requirements and industry best practices.
- Gather and process raw data from multiple disparate sources (including writing scripts calling APIs write SQL queries etc.) into a form suitable for analysis using python
- Gathers analyzes documents and translates application requirements into data models.
- Builds data models.
- Enables big data batch and real-time analytical processing solutions leveraging emerging technologies.
Qualifications :
- Bachelors Degree in Computer Science Mathematics Information Systems Engineering Physical Sciences Life Sciences or closely related field or equivalent related professional experience is required. Additional certifications are preferred.
- Verifiable experience in Epic (Clarity/ Caboodle and Interfaces) is required
- Proficiency in SQL python
- Seven or more (7) years experience designing implementing and supporting systems in a large scale analytics or data engineering environment containing many disparate application systems and multiple data sources.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Compensation
- Pay Range: $57.87-$17
- Other Compensation (if applicable):
- Review the 2024-2025 UMMS Benefits Guide
Like many employers UMMS is being targeted by cybercriminals impersonating our recruiters and offering fake job opportunities. We will never ask for banking details personal identification or payment via email or text. If you suspect fraud please contact us at
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
