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Principal Software Engineer- AWS, Data Engineering @ Optum

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 Principal Software Engineer- AWS, Data Engineering

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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make 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.
  •   The Optum Technology Digital team is on a mission to disrupt the healthcare industry, transforming UHG into an industry-leading Consumer brand. We deliver hyper-personalized digital solutions that empower direct-to-consumer, digital-first experiences, educating, guiding, and empowering consumers to access the right care at the right time. Our mission is to revolutionize healthcare for patients and providers by delivering cutting-edge, personalized and conversational digital solutions. Were Consumer Obsessed, ensuring they receive exceptional support throughout their healthcare journeys. As we drive this transformation, we're revolutionizing customer interactions with the healthcare system, leveraging AI, cloud computing, and other disruptive technologies to tackle complex challenges. Serving UnitedHealth Group's digital technology needs, the Consumer Engineering team impacts millions of lives through UnitedHealthcare & Optum.
  • We are seeking a dynamic individual who embodies modern engineering culture - someone with deep engineering expertise within a digital product model, a passion for innovation, and a relentless drive to enhance the consumer experience. Our ideal candidate thrives in an agile, fast-paced rapid-prototyping environment, embraces DevOps and continuous integration/continuous deployment (CI/CD) practices, and champions the Voice of the Customer. If you are driven by the pursuit of excellence, eager to innovate, and excited to make a tangible impact within a team that embraces modern technologies and consumer-centric strategies, while prioritizing robust cyber-security protocols, we invite you to explore this exciting opportunity with us. Join our team and be at the forefront of shaping the future of healthcare, where your unique skills will not only be recognized but celebrated.
  •  Primary Responsibilities
  •  
  • Design and implement data models to analyse business, system, and security events for real-time insights and threat detection
  • Conduct exploratory data analysis (EDA) to understand patterns and relationships across large data sets, and develop hypotheses for new model development
  • Develop dashboards and reports to present actionable insights to business and security teams
  • Build and automate near real-time analytics workflows on AWS, leveraging services like Kinesis, Glue, Redshift, and QuickSight
  • Collaborate with AI/ML engineers to develop and validate data features for model inputs
  • Interpret and communicate complex data trends to stakeholders and provide recommendations for data-driven decision-making
  • Ensure data quality and governance standards, collaborating with data engineering teams to build quality data pipelines
  • Develop data science algorithms & generate actionable insights as per platform needs and work closely with cross capability teams throughout solution development lifecycle from design to implementation & monitoring
  • 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
  •  
  • B. Tech or Masters degree or equivalent experience
  • 12+ years of experience in data engineering roles in Data Warehouse
  • 3+ years of experience as a Data Scientist with a focus on building models for analytics and insights in AWS environments
  • Experience with AWS data and analytics services (e.g., Kinesis, Glue, Redshift, Athena, TimeStream)
  • Hands-on experience with statistical analysis, anomaly detection and predictive modelling
  • Proficiency with SQL, Python, and data visualization tools like QuickSight, Tableau, or Power BI
  • Proficiency in data wrangling, cleansing, and feature engineering
  •  Preferred Qualifications
  •  
  • Experience in security data analytics, focusing on threat detection and prevention
  • Knowledge of AWS security tools and understanding of cloud data security principles
  • Familiarity with deploying data workflows using CI/CD pipelines in AWS environments
  • Background in working with real-time data streaming architectures and handling high-volume event-based data

  • Job Classification

    Industry: Retail
    Functional Area / Department: Engineering - Software & QA
    Role Category: Software Development
    Role: Data Engineer
    Employement Type: Full time

    Contact Details:

    Company: Optum
    Location(s): Hyderabad

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    Keyskills:   python cleansing sql data integration tools data wrangling continuous integration quicksight glue amazon redshift ci/cd data warehousing power bi kinesis data engineering digital product tableau data science devops athena aws cloud computing

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    Optum

    About: OptumInsight India Pvt Ltd, a UnitedHealth group company is a leading health services and innovation company dedicated to help make the health system work better for everyone. With more than 115,000 people worldwide, Optum combines technology, data and expertise to improve the delivery, ...

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