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Senior Data Engineering Consultant

Optum -
Gurugram, Haryana

Apply Now

Job details

Full-time

Benefits

Health insurance

Qualifications

JBoss
CI/CD
Azure
Cloud architecture
Business intelligence
Computer Science
Gherkin (programming language)
IntelliJ
Kubernetes
Relational databases
Big data
Spark
Git
Java
Master's degree
AWS
Docker
Scala
Continuous integration
Software development
GitHub
APIs
Agile
Eclipse
Apache
Requirements gathering
Jenkins
Data warehouse
Python
SDLC

Full job description

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.

Primary Responsibilities:

Architect all phases of software engineering including requirements analysis, application design, code development and testing with a focus on business intelligence dataset development
Support the full data engineering lifecycle including research, designing, developing, testing and maintaining end-to-end data processing systems and data management solutions
Design reusable components, frameworks, and libraries
Contribute and make recommendations to the design and architecture to enable secure, scalable, and maintainable solutions
Support the implementation of a modern data framework that facilitates business intelligence reporting and advanced analytics
Work collaboratively with People Analytics on the development and production of standard datasets to drive actionable decision making and reporting stability
Work towards eliminating unwarranted complexity and unneeded interdependencies
Data Pipeline Development: Design, build, and maintain scalable data pipelines to process large volumes of data from various sources
Data Integration: Integrate data from multiple sources, ensuring data quality and consistency
Database Management: Develop and manage databases, data warehouses, and data lakes
Data Quality: Utilize data quality tools to ensure the accuracy, reliability, and integrity of data throughout its lifecycle
Data Governance: Implement data governance practices to ensure data security, privacy, and compliance
Conduct design and code reviews to ensure code developed meets business needs, coding best practices guidelines, unit testing, security, and scalability and maintainability guidelines
Work very closely with architecture groups and drive optimized solutions
Design and manage complex workflows using Apache Airflow
Develop and maintain DAGs (Directed Acyclic Graphs) for orchestrating data pipelines
Documentation: Prepare high level design documents and detailed technical design documents with best practices to enable efficient data ingestion, transformation and data movement
Use engineering best practices following an Agile methodology to deliver high-quality emerging tech solutions
Communicate with impact - influence and negotiate effectively with all internal and external stakeholders to achieve win-win solutions that advance organizational goals
Analyze project requirements and develop detailed specifications for new data warehouse reporting requirements
Assesses and interprets customer requests for feasibility, priority, and complexity
Support projects and change initiatives aligned to key priorities of People Analytics and Insights and People Technology customers
Proactively keeps data secure and decommissions legacy content in our environment
Serve as a resource to others within the People Analytics and Insights and People Tech community; mentors other data engineers; provides explanations and information to others on difficult issues, problems, and solutions
Works with minimal guidance; seeks guidance on only the most complex tasks
Coaches, provides feedback, and guides others within the People Analytics community
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:

9+ years of data engineering experience
7+ years of full lifecycle application, software development experience
6+ years of modern programming language such as Python, Java, Spark and Scala
6+ years of SDLC experience in an Agile environment
5+ years of solid hands-on experience with Snowflake, Azure Databricks
Experience with Cloud technologies and platforms such as Docker, Podman, OSE, Kubernetes, AWS, Snowflake, and Azure
Experience with Jenkins, GitHub, Big Data technologies like Spark, PySpark
Experience using IDEs such as Eclipse, JBoss, IntelliJ
Relational database experience
Experience ingesting and working with large and complex datasets
Experience gathering requirements from end users
Experience building data pipelines on Azure Databricks/ Snowflake, following best practices in Cloud deployments
Experience in Data Integration and Data Warehousing, working on Public Cloud (Azure)
Working knowledge of the following business and technology concepts: APIs, CI/CD, Big Data ecosystem, cloud data warehousing, data architecture and data governance
Grow and maintain knowledge of and leverage emerging technologies
Understands priorities and organizes prescribed and non-prescribed work to meet or exceed deadlines and expectations
Familiarity with Azure Services such as Blobs, Functions, Azure Data Factory, Service Principal, Containers, Key Vault, etc.

Preferred Qualifications:

Master's degree in Computer Science, Engineering, or Technology
Relevant certifications in data engineering or cloud platforms (Azure and Databricks)
Experience with People Data (Human Capital domain)
Experience with disaster and recovery models
Experience creating user stories in an agile tool using gherkin format methodology

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.

#NIC#NJP

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