Senior Data Engineering Consultant

Bangalore, Karnataka
Permanent
Full-time

1 month ago

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.Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles. Responsibilities may include Platform-as-a-Service and Cloud solution with a focus on data stores and associated eco systems. Duties may include management of design services, providing sizing and configuration assistance, ensuring strict data quality, and performing needs assessments. Analyzes current business practices, processes and procedures as well as identifying future business opportunities for leveraging data storage and retrieval system capabilities. Manages relationships with software and hardware vendors to understand the potential architectural impact of different vendor strategies and data acquisition. May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data. Selects, develops and evaluates personnel to ensure the efficient operation of the function. Generally work is self-directed and not prescribed.Primary Responsibilities:

Champion Data Engineering principles and foster a culture of data quality, scalability, performance, reliability, reusability, security, compliance, and observability

Design and build scalable and reliable data jobs to process data in Hyperscale and other operational data platforms

Support and maintain security and compliance controls at the database and data level in terms of HIPAA, PHI, PII and other governance requirements

Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools for the database tech stack

Manage and prioritize the security backlog, ensuring proactive identification and remediation of vulnerabilities for the Data infrastructure and pipelines

Support and maintain systems during the migration from IBMi/AS400 and DB2 to a modern Azure-based stack, including Azure Hyperscale SQL, Azure Kubernetes Service (AKS), Azure App Services, Azure Data Factory (ADF) pipelines, Azure Databricks, Change Data Capture (CDC) and Kafka for real-time data synchronization

Continuously evaluate and improve delivery processes, tooling, and team capabilities

Develop and maintain data pipelines and workflows using Azure Data Factory (ADF) and Databricks

Implement data integration and ETL processes to support analytics and reporting needs

Ensure data quality, consistency, and reliability across the data engineering infrastructure
Works with less structured, more complex issues
Serves as a resource to others
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:

Undergraduate degree or equivalent experience

6+ years of experience in Data Engineering, or related engineering role

4+ years of experience querying and building data pipelines around high availability database systems (such as Hyperscale, Aurora, Mongodb Atlas)

3+ years of experience with Azure

3+ years of experience in scripting languages (e.g., Python, Bash)

Hands-on experience with CI/CD tools such as Jenkins, Azure DevOps, or GitHub Actions

Experience with Linux and/or Windows environments

Experience working in distributed, cross-functional teams
Familiarity with ITSM practices and automation

Proficient in SQL, Python, PySpark, Scala or some data query language

Proven solid communication, collaboration, and problem-solving skills

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group

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