Data Engineer

Job Description
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.
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Work arrangement
No