Description

Key Responsibilities:

• Design, develop, maintain, and support ETL processes using IBM DataStage and SSIS.
• Analyze business and technical requirements and translate them into scalable data integration solutions.
• Support existing DataStage applications, troubleshoot production issues, and implement enhancements.
• Develop and optimize data pipelines, transformations, and data ingestion processes in Snowflake.
• Perform data validation, reconciliation, and quality checks to ensure data accuracy and integrity.
• Collaborate with business stakeholders, data architects, and cross-functional teams to deliver data solutions.
• Participate in data migration and modernization initiatives from legacy ETL platforms to Snowflake.
• Optimize ETL workflows and database performance to improve scalability and efficiency.
• Adhere to data governance, security, and compliance standards.

Required Skills & Qualifications:

• 5–8 years of experience in ETL development and data engineering.
• Strong hands-on experience with IBM DataStage.
• Solid experience with Microsoft SSIS (SQL Server Integration Services).
• Hands-on experience with Snowflake, including data loading, transformation, and performance optimization.
• Strong SQL and database development skills.
• Experience with data warehousing concepts, dimensional modeling, and data integration best practices.
• Experience in ETL design, development, testing, deployment, and production support.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience working within the technology stack.
• Exposure to cloud-based data platforms and migration projects.
• Experience with Agile delivery methodologies.
• Knowledge of data governance and data quality frameworks

Key Skills

Education

Any Gradute