Role & 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.

📌 Data Engineer (Hyderabad)
🏢 Talent Et Au Dela Management Consulting u0026 Advisory
📍 Hyderabad