Job Location: Marietta, GA
Overview
How would you like to work in a place where your contributions and ideas are valued? A place where you can serve with compassion, pursue excellence and honor every voice? At Wellstar, our mission is simple, yet powerful: to enhance the health and well-being of every person we serve. We are proud to have become a shining example of what’s possible when the brightest professionals dedicate themselves to making a difference in the healthcare industry, and in people’s lives.
Responsibilities
Data Engineers provision and set up data platform technologies on-premises and in the cloud. They manage and
secure the flow of structured and unstructured data from multiple sources. The data platforms they use can include
relational databases, nonrelational databases, data streams, and file stores.
secure the flow of structured and unstructured data from multiple sources. The data platforms they use can include
relational databases, nonrelational databases, data streams, and file stores.
Data Engineers also ensure that data services securely and seamlessly integrate with other data platform
technologies or application services, for example: Azure Cognitive Services, Microsoft Customer Insights, or
Dynamics365.
Data Engineers must also get, ingest, transform, validate, and clean up data to meet business requirements.
technologies or application services, for example: Azure Cognitive Services, Microsoft Customer Insights, or
Dynamics365.
Data Engineers must also get, ingest, transform, validate, and clean up data to meet business requirements.
Qualifications
Required Minimum Education:
- Bachelor’s degree required, Computer Science or related field.
o An additional 4+ years of professional work experience is acceptable in lieu of formal degree.
Required Minimum Experience with working knowledge of
- Database systems (SQL and NoSQL). – 2+ years
- Data warehousing solutions. – 3+ years
- ETL tools. – 3+ years
- Proficiency with at least one modern programming language (e.g. Python, Java, Scala, or C#)
- Understanding of distributed systems.
- Understanding of algorithms and data structures.
- Working knowledge of software development practices and processes
- Working knowledge of one or more Cloud platforms (Azure preferred)
- Excellent communication and collaboration skills
Preferred Qualifications / Skills:
- Experience with Machine learning
- Experience with Data APIs
- Proficiency in software engineering
- Experience in clinical data and CRM systems
- Experience with DataWarehouse and DataLake concepts
- Experience with cloud computing
- Experience building real-time and batch data pipelines
- Proficiency with multiple programming languages (e.g. SQL, .NET, Python, JavaScript)
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