Data Engineer

Talent et au-dela; Hyderabad; On-site; INR 900,000 - 1,800,000; Full time

Job summary

Talent et au-dela is seeking a Data Engineer with 4–9 years of experience in data integration, ETL/ELT development, cloud data warehousing, and data processing. The role emphasizes hands-on expertise in the core tech stack and the ability to design, build, and optimize scalable data pipelines.

You will design and maintain ETL/ELT pipelines, optimize SQL/PL/SQL workflows, and develop cloud data solutions on Snowflake and AWS.

Qualifications

• 4–9 years of experience in data integration, ETL/ELT development, cloud data warehousing, and data processing.
• Strong hands-on expertise in core technology stack and ability to develop, maintain, and optimize scalable data pipelines.

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.

Skills

ETL/ELT Development

Data Integration

Cloud Data Warehousing

Data Processing

Tools

Informatica PowerCenter

Python

PL/SQL

Snowflake

AWS

AI/LLM

GitHub

Job description

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

• Databases: SQL, PL/SQL, Oracle, Microsoft SQL Server.
• Cloud Data Warehouse: Snowflake.
• AWS: EC2, S3, IAM, Lambda, EFS.
• Version Control: GitHub.
• AI-Assisted Development: LLMs, RAG, embeddings, agents, prompt engineering.