Design and maintain ETL/ELT pipelines for data, optimize workflows for analytics and machine learning, and ensure data quality and governance.
Your key responsibilities • Design, build, and maintain efficient, reusable, and scalable ETL/ELT pipelines for structured and unstructured data. • Develop and optimize data workflows to support advanced analytics, machine learning models, and reporting tools. • Collaborate with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability • Work with cloud and on-prem data platforms (e.g., AWS, Azure, GCP, Hadoop, or on-prem SQL/NoSQL systems). • Develop and maintain LLM- and RAG-based AI agents using Azure OpenAI, LangChain/Semantic Kernel, and Azure ML. • Design, build, and maintain data and AI pipelines in production. • Ensure data integrity, governance, and security best practices across pipelines and data lakes/warehouses. • Troubleshoot and resolve data issues and performance bottlenecks in real-time and batch pipelines. • Monitor job performance and implement automation and alerting for data operations. • Contribute to documentation, code reviews, and development best practices
Top Skills
AWS
Azure
Azure Ml
Azure Openai
Elt
ETL
GCP
Hadoop
Langchain
NoSQL
Semantic Kernel
SQL
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