Description

Design, develop, and maintain scalable ETL processes and data pipelines using IBM DataStage, SSIS, and Snowflake.

This role is hybrid.

Responsibilities

• Design and build ETL workflows using IBM DataStage and Microsoft SSIS to support business requirements.
• Develop and optimize data ingestion, transformation, and loading processes within Snowflake.
• Troubleshoot production issues, perform data validation, and ensure data integrity and quality.
• Lead data migration and modernization initiatives from legacy platforms to Snowflake.
• Collaborate with data architects and stakeholders to deliver secure, compliant data solutions.

Required Skills

• 8+ years of experience in ETL development and data engineering.
• Strong hands-on expertise with IBM DataStage.
• Solid experience with Microsoft SQL Server Integration Services (SSIS).
• Proficiency in Snowflake, including data loading and performance optimization.
• Advanced SQL and database development skills.
• Experience with data warehousing concepts, dimensional modeling, and data integration best practices.
• Ability to analyze technical requirements and translate them into scalable solutions.

Preferred Skills

• Experience with cloud-based data platforms and migration projects.
• Knowledge of data governance, security, and quality frameworks.
• Familiarity with Agile delivery methodologies.

Key Skills

Education

Any Gradute