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Data Engineering Lead
Optum India
Hyderabad, IND
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Data engineeringPythonApache SparkCloud platforms and data servicesAzure, AWS, or GCPInfrastructure as code
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Role Overview
Optum uses technology, care, pharmacy benefits, data, and other resources to improve health outcomes.
The role contributes to health optimization through data engineering and platform delivery.
Key Skills for This Role
Data engineeringPythonApache SparkCloud platforms and data servicesAzure, AWS, or GCPInfrastructure as code
Full Job Posting
About the opportunity
Optum uses technology, care, pharmacy benefits, data, and other resources to improve health outcomes.
The role contributes to health optimization through data engineering and platform delivery.
Primary responsibilities
- Develop scalable, reliable, and efficient data pipelines and architectures.
- Optimize data platforms for performance, cost, and reliability.
- Ensure data quality, integrity, and availability across systems.
- Implement distributed data transformations, validation, and monitoring frameworks.
- Collaborate with business, analytics, and product teams to understand requirements.
- Participate in meetings and walkthroughs and follow organizational standards.
- Automate deployments using CI/CD pipelines.
- Comply with employment terms, company policies, procedures, and operational directives.
Required qualifications
- B.Tech., MCA, or graduation with at least 15 years of formal education.
- At least 5 years of proficiency in data engineering technologies such as Python or Spark.
- At least 4 years of hands-on experience with Azure, AWS, or GCP and related data services.
- Experience with infrastructure-as-code tools such as Terraform or ARM templates.
- Knowledge of data cataloging, lineage, and metadata tools.
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