Big Data Engineer
Optum
Chennai, Tamil Nadu, IN
8d ago
source : Instahyre

Responsibilities :

  • Works with the business, product management and senior engineering management to clarify business requirements and provide effective technical designs aligning with industry best practices.
  • Evangelize and drive the design and implementation of complex data processing pipelines as part of a dynamic and fast-paced team.
  • Provides technical mentorship and guidance to individual members of the engineering team.
  • Contribute across the platform, or products in areas like technology, team skills, process, shared components and quality.
  • Requirements :

  • Experience in designing and implementing scalable data pipelines involving heterogeneous data sources.
  • Experience in the healthcare domain, especially in the area of Clinical Quality Measures.
  • Experience leading small groups of software engineers in the delivery of high-quality, scalable solutions.
  • Experience with healthcare standards such as HL7, QRDA, CCD, etc.
  • Experience with large product integrations and performance enhancements.
  • Experience developing enterprise-scale commercial software in the health care industry.
  • Experience developing scalable and performant enterprise software using big data technologies.
  • Demonstrate ability to decompose a feature request into actionable work items that can be sized correctly and delivered.
  • Demonstrate ability to onboard new engineers with how to conduct code reviews, how to do testing.
  • Must Haves :

  • Education : Bachelor's Degree in technical field with equivalent work experience.
  • 5+ years of relevant professional work experience.
  • Hands-on experience with software architecture, creating data pipelines using big data technologies, continuous integration and continuous deployment.
  • Experience working in highly interactive partnership with product management team.
  • Experience of any server-side development language, preferably Scala or Python.
  • Experience in designing and developing relational database, or non-relational databases.
  • Experience working with big data processing and / or enterprise analytics technologies.
  • Apply
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