Associate Data Engineering Manager
Optum (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 22–40 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines and AI/ML solutions using Databricks, Snowflake, Apache Airflow, and Azure platform services.
- Build and deploy production-quality Python code for data processing, APIs, AI services, and manage ML pipelines including MLOps, model monitoring, and governance.
- Collaborate across teams to architect, implement, and troubleshoot AI-driven products, data engineering workflows, and ensure security, scalability, and cost optimization on Azure.
Minimum Requirements
- Graduate degree or equivalent experience.
- Hands-on production experience with Databricks (Spark/PySpark), Snowflake, Apache Airflow, and Microsoft Azure cloud.
- Experience with Python programming for data engineering, API development, AI/ML applications, and deploying AI services on Azure AI platforms.
- Experience working with Large Language Models (LLMs), Generative AI, RAG architectures, vector databases, prompt engineering, plus AI governance and MLOps practices.
Ideal Candidate Profile
- Experienced in end-to-end data engineering and AI/ML solution ownership in production environments using modern cloud services and frameworks.
- Strong background integrating AI capabilities into enterprise data products with a focus on scalable, secure, and monitored deployments on Azure.
- Familiar with advanced AI approaches including Agentic AI frameworks, intelligent workflow orchestration, and AI governance in regulated or complex domains.