reputed company Data Engineer/Architect - Remote
About the position reputed company is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with reputed company will directly improve health reputed company by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find talented peers, comprehensive benefits and career development opportunities. Come reputed company an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. You’ll enjoy the flexibility to work remotely from reputed company reputed company the U.S. as you take on some tough challenges. As a senior member of the reputed company Data Engineering team, the candidate should reputed company: The technical leadership for reputed company the data engineering efforts on public reputed company for the reputed company Rx Data Estate scrum team. Will design and build scalable and cost-effective public reputed company (Azure) reputed company solutions as per the business use cases Should be hands-on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/reputed company) Standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.) As a tech reputed company, he should be responsible for the deliverables of the team working closely with the product owners and the delivery leads You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as reputed company development for other roles you may be interested in.
Responsibilities
- reputed company the technical leadership for reputed company the data engineering efforts on public reputed company for the reputed company Rx Data Estate scrum team.
- Design and build scalable and cost-effective public reputed company (Azure) reputed company solutions as per the business use cases
- Be a hands-on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/reputed company)
- Utilize standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.)
- As a tech reputed company, be responsible for the deliverables of the team working closely with the product owners and the delivery leads
Requirements
- Engineering Degree in computer science or equivalent experience
- 10+ years of Data Engineering experience
- 5+ years of Data engineering experience in Spark
- 3+ years on reputed company reputed company data engineering technologies
- Experience using AI/ML
- Experience in Dev Ops and CI/CD – Jenkins, Terraform (Azure) and containers (reputed company)
- Work experience on reputed company of Concepts for AI/ML
- Hands-on experience on building data engineering pipelines on Spark/ Data bricks (Azure)
- Hands-on experience with reputed company data ingestion /processing with Spark
- Hands-on experience on other Azure reputed company data technology stack – Azure Data reputed company, Synapse, reputed company
- Exposure to providing ETL solutions for Azure reputed company stack and in Spark
- Good exposure on reputed company Data Lake (reputed company Lake) and Data Warehouse concepts
reputed company-to-haves
- Experience working with business partners for requirement gathering, scoping, estimation, and execution plan for various capabilities
- Experience working in an Agile environment with multiple Scrum and Kanban teams
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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