Description

You will design, develop, and optimize enterprise-level data integration solutions.

Responsibilities

• Design, develop, and maintain ETL processes for data movement, transformation, and loading across systems.
• Analyze business and data requirements to create technical specifications and ETL workflows.
• Optimize ETL performance, focusing on data loading, transformation logic, and job scheduling.
• Collaborate with architects and analysts to ensure accurate data delivery and implement data quality practices.
• Troubleshoot existing ETL jobs and participate in data migration initiatives.

Required Skills

• 10–15 years of experience in ETL development and data warehousing.
• Proficiency in ETL tools such as Informatica PowerCenter, Talend, SSIS, DataStage, or Azure Data Factory.
• Advanced SQL and PL/SQL skills with database experience (Oracle, SQL Server, Snowflake).
• Hands-on experience with data modeling, data integration, and data quality frameworks.
• Familiarity with cloud platforms (AWS, Azure, GCP) and modern data architectures.
• Strong understanding of data warehousing concepts (Star/Snowflake schemas, SCDs).
• Experience with scripting languages (Python, Shell) for automation.
• Knowledge of DevOps and CI/CD pipelines.

Key Skills

Education

Any Gradute