Sr. Data Engineer
hace 2 semanas
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 predefined 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 selfhealing 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.
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3+ years of experience with Python and Spark in developing data processing pipelines. (Can be enough with Python and Scala _. _
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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 cuttingedge 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.
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