Sr. Data Engineer
hace 2 semanas
No industry is moving faster than health care. And no organization is better positioned to lead health care forward. We need attention to every detail with an eye for the points no one has considered. The rewards for performance are significant. You'll help improve the health of millions. And you'll do your life's best work.
**Key Responsibilities**:
- Design and implement scalable data processes focused on fulfilling product requirements.
- Large complex components; influencing overall product architecture and patterns.
- Autonomously implement component design in line with pre-defined Data and (ELT/ETL) architectural patterns.
- Partner with Business, Technical and Strategic Product stakeholders to manage project commitments in an agile framework; rapidly delivering value to our customers via technology solutions.
- Develop, construct, test, document and maintain data pipelines.
- Identify ways to improve data reliability, efficiency, and quality.
- Design and develop resilient, reliable, scalable and self-healing solutions to meet and exceed customer requirements.
- Focus on automation, quality and streamlining new and existing data processing.
- Create data monitoring capabilities for each business process and work with data consumers on updates to data processes.
- Develop data pipelines using Python, Spark and/or Scala. ( can be enough with Python and Scala/ for what is Spark?)
- Automate and orchestrate data pipelines using Azure Data Factory or Delta Live Tables
- Help maintain the integrity and security of the company data.
- Communicate clearly and effectively in oral and written forms and be able to present and demonstrate work
**Required Qualifications**:
- Undergraduate degree or equivalent experience
- 5+ years of IT experience in Software Engineering.
- **3+ years of experience in big data processing **for batch and/or streaming data; data includes file systems, data structures/databases, automation, security, messaging, movement, etc.
- **3+ years of experience with Python and Spark **in developing data processing pipelines. (Can be enough with Python and Scala _. _
- **3+ years of ETL programming experience in Databricks **.**:
- **3+ years of supporting extensive data analysis using advanced SQL concepts and window functions**:
- 2+ years of experience working on large scale programs, with multiple concurrent projects.
- 2+ years of experience with Agile methodologies and Test-Driven Development.
- **Experience with Continuous Development/ Integration (CI/CD) /DevOps skills, (Jenkins, Git, Azure DevOps/ Git Actions).**:
- Strong written and oral communications along with presentation and interpersonal skills
**Preferred Qualifications**:
- 2+ years of cloud experience, preferably Azure.
- 2+ years automation/orchestration experience using Azure Data Factory
- **Experience and familiarity with data across Healthcare Provider domains (i.e. Patient, Provider, Encounter, Billing, Claims, Eligibility etc.)**:
- Familiarity/Experience with Clinical data exchange formats like HL7, FHIR, CCD etc.
- Familiarity/experience with FHIR resources and data model
- Experience in Big data processing in healthcare domain
- Cloud development and computing.
- Knowledge of cutting-edge technologies (AI, ML, Blockchain, Wearables, IOT).
- Knowledge/Experience with Microservice design, Java Spring, Kafka, RabbitMQ.
- Ability/Willingness to explore/learn new technologies and techniques on the job.
If you're the kind of thinker and leader who wants to bring your contribution to a new level every day, bring yourself over to Optum. You'll discover an opportunity to do **your life's best work.(sm)
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