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Data Engineer Gen AI
1 month ago
- Design construct install test and maintain data management systems
- Develop and maintain scalable data pipelines for data analytics and processing
- Implement ETL processes to move data from various sources to data warehouses
- Collaborate with data scientists and analysts to understand data needs and deliver appropriate solutions
- Assess and develop data architecture strategies for the organizations data ecosystem
- Optimize and improve existing data pipelines and infrastructure
- Perform data modeling and schema design for various application requirements
- Ensure data quality and integrity by implementing best practices and data governance processes
- Automate data processes and monitor system performance and reliability
- Work closely with crossfunctional teams to understand data requirements and provide technical solutions
- Troubleshoot and resolve datarelated issues and provide technical support as needed
- Stay updated with the latest trends in data engineering and technologies
- Contribute to the continuous improvement of data engineering best practices and standards
- Strong experience in Python programming language Must.
- Experience in REST APIs Fast APIs Graph APIs SQL Alchemy.
- Good experience in Azure Services like DataLake Azure SQL Function App Azure Cognitive Search.
- Good Understanding on Chunking Embeddings vectorization indexing Prompting Hallucinations RAG.
- Hands on experience in DevOps create pull PRs and maintain code repositories.
- Strong communication skills and ability to collaborate effectively with team members.
graph apis,rest apis,azure services,fast apis,python,data modeling,embeddings,rag,azure sql,chunking,hallucinations,python programming language,prompting,indexing,datalake,code repositories,sql,vectorization,azure,sql alchemy,azure cognitive search,devops,function app,etl,communication skills,collaboration