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    Job · 23467461

    Optum Global Solutions logo

    Associate Data Engineering - Databricks

    Optum Global Solutions · Bengaluru · onsite · Posted 1d ago

    Undisclosed2–6 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Responsibilities
    • Design, develop, and maintain scalable data pipelines using Databricks (Spark / PySpark)
    • Orchestrate and monitor workflows using Apache Airflow for batch, streaming, and incremental processing
    • Build and optimize ELT pipelines in Snowflake, ensuring performance, reliability, and cost efficiency
    • Develop production-quality Python code for data processing, transformations, integrations, and AI/ML workloads
    • Design, build, and host APIs, AI services, and data products using modern Python frameworks
    • Deploy and manage APIs, ML models, and AI services using Azure-native services (Azure Functions, App Services, API Management, Azure AI Services)
    • Design and implement AI/ML and Generative AI solutions, including model integration, prompt engineering, RAG (Retrieval-Augmented Generation), and intelligent workflow automation
    • Build and manage vector databases, embeddings pipelines, semantic search capabilities, and knowledge retrieval frameworks
    • Develop and operationalize ML pipelines, feature engineering workflows, model monitoring, and MLOps practices
    • Leverage LLMs and Agentic AI frameworks to automate data onboarding, data quality validation, metadata management, and business processes
    • Apply Azure cloud best practices for security, scalability, monitoring, resiliency, governance, and cost optimization
    • Implement data quality checks, lineage tracking, observability, model evaluation, and AI governance controls
    • Collaborate with Data Science, Analytics, Product, and Platform teams to build AI-powered products and intelligent data solutions
    • Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements


    Required Qualifications
    • Graduate degree or equivalent experience
    • Solid hands-on experience with Databricks (Spark / PySpark) in production environments
    • Experience building and hosting REST APIs, AI services, and microservices using Python frameworks
    • Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or equivalent AI platforms
    • Experience working with Large Language Models (LLMs), Generative AI, RAG architectures, vector databases, embeddings, and prompt engineering
    • Experience implementing AI governance, model evaluation, privacy, security, and responsible AI practices
    • Experience with CI/CD pipelines, Git-based version control, Infrastructure as Code, and deployment automation
    • Solid working experience with Snowflake, including data modeling, optimization, and performance tuning
    • Solid experience with Microsoft Azure, including cloud-native architecture and best practices
    • Knowledge of Agentic AI frameworks (e.g., Semantic Kernel, LangChain, AutoGen, CrewAI, or similar) and intelligent workflow orchestration

    Sourced from naukri

    Skills

    AutomationApi ManagementAzure AiAzure Machine LearningapisApacheai servicesai frameworksApp Servicesapache airflowAzure OpenAIai governanceAnalyticsArchitectureMicrosoft AzureAzure FunctionsArtificial Intelligence

    About Optum Global Solutions

    Optum Global Solutions logo

    Optum Global Solutions

    IT Services & Consulting

    33.0k+

    employees

    2002

    24 years old

    Hyderabad / Secunderabad, Telangana

    India

    ₹11L PA avg

    Avg at Optum Global Solutions

    About

    We are at the helm of a digital health care revolution, which is being accelerated by a combination of technology and talent. We build and deliver end-to-end digital health solutions for our clients.

    Industries

    IT Services & ConsultingHardware & NetworkingHealthcareSoftware Product

    Employee ratings

    10 reviews

    4.0/ 5

    Culture

    3.6

    Career growth

    3.0

    Work-life

    3.6

    Employees rate it well for

    Job Security42Work-Life Balance41

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    Associate Data Engineering - Databricks · waiting for your command