Data Engineer

About the job Data Engineer: 4 – 6 Years Senior Data Engineer: 6 - 9 Years Location: Hyderabad Must skills : ETL/ELT Development | Informatica PowerCenter | Python | PL/SQL | Snowflake | AWS | AI/LLM Role Overview: We are looking for a skilled Data Engineer with 4 –9 years of experience in data integration, ETL/ELT development, cloud data warehousing, and data processing. The candidate should have strong hands-on expertise in our core technology stack and the ability to develop, maintain, and optimize scalable data pipelines. Key Responsibilities: Design, develop, maintain, and optimize ETL/ELT pipelines using Informatica PowerCenter, IICS, and IDMC. Develop and optimize SQL and PL/SQL queries, stored procedures, and data processing workflows using Oracle and Microsoft SQL Server. Build and maintain data warehouse solutions using Snowflake. Develop cloud-based data solutions using AWS services, including EC2, S3, IAM, Lambda, and EFS. Develop Python-based data processing solutions using Pandas, DataFrames, and NumPy. Manage source code and version control using GitHub repositories. Leverage AI-assisted development technologies, including LLMs, RAG, embeddings, AI agents, and prompt engineering. Ensure data quality, performance, reliability, and maintainability across data pipelines. Collaborate with cross-functional teams to deliver effective data engineering solutions. Required Technical Skills ETL/ELT: Informatica PowerCenter, IICS, IDMC. Databases: SQL, PL/SQL, Oracle, Microsoft SQL Server. Cloud Data Warehouse: Snowflake. AWS: EC2, S3, IAM, Lambda, EFS. Programming: Python, Pandas, DataFrames, NumPy. Version Control: GitHub. AI-Assisted Development: LLMs, RAG, embeddings, agents, prompt engineering. #DataEngineer #DataEngineering #InformaticaPowerCenter #PLSQL #Snowflake #AWS #Python #ETL #ELT #DataIntegration #DataWarehouse #CloudDataEngineering #Oracle #SQLServer #Pandas #NumPy #IICS #IDMC #DataPipelines #HyderabadJobs #Hiring #TechHiring #ITJobs