Data Engineering Analyst

Data Engineering Analyst

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

The Data Engineering Analyst belongs to Self-Organizing and Cross Functional development team and is able to convert sprint backlog items to shippable product.

The candidate collectively owns end to end development responsibility for a given Agile Team / POD. He/she will design, code and test the user stories committed for a sprint.

Works independently under limited supervision. Possess skills to effectively deal with issues, challenges within field of specialization to develop application solutions.

Looking for a Data engineer who has the know-how on Optum, interact with Private and Public Cloud infrastructure and services. Will be responsible for developing data integrations and services.

Primary Responsibilities:

• Be technically hands-on and excellent in Design, Coding and Testing
• Build scalable, fault-tolerant batch and real-time data ingestion pipelines, data transformation and data mining jobs
• Create and maintain data-driven APIs to support a wide range of data integrations and data services
• Implement best practices for Python application development
• Create robust ETL pipeline using ANSI SQL by referring BRD to meet business requirements and data SLA.
• Own or assist with incident and problem management, meet SLA
• Quality first approach, Ensure end to end product/data quality through testing automation.
• Collaborate with the rest of the agile team at daily stand ups and other agile ceremonies
• Be a Team Player in an Agile team within a Release Team / Value Stream
• Promote and develop the culture of collaboration, accountability and quality
• Provide technical support to the team and help the team in resolving technical issues
• Closely work with Tech Lead, Onshore partners, deployment and infrastructure teams
• Basic, structured, standard approach to work
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• 2+ years of experience with software framework development using Python and its inbuilt frameworks
• 2+ years of experience with Docker, Kubernetes
• 2+ years of experience developing data pipelines, ETL jobs using Python
• 2+ years of working experience in ELT/ETL, write queries using ANSI SQL
• Working experience in CI/CD pipeline (test, build, deployment and monitoring automation)
• Good exposure of quality control, testing automation
• Sound knowledge of data model, schemas and algorithms
• Knowledge of software configuration management and packaging
• Good understanding of Data / Information security
• Good in Data Structure, Algorithms and Design Patterns
• Understanding of Cloud concept. Good to have Pyspark, Databricks knowledge
• Demonstrates hands-on knowledge of Open Source adoption and use cases
• Product / Project / Program Related Tech Stack:
• Python, UNIX
• SQL (Teradata Platform Preferred)
• DevOps: Jenkins, GitHub
• Scheduling: Airflow, Grafana
• Development Methodology / Engineering Practices: Agile (Scrum / Kanban / SAFe)
• Demonstrates excellent problem-solving skills

Preferred Qualifications:

• College degree in computer science, business, or a related field
• Experience with data streaming
• Experience with relational and Cloud databases
• Proven aptitude for learning and be a great team player - solid track record