Data Engineer-Data Integration

About the position

Responsibilities
• Develop, maintain, evaluate, and test big data solutions.
• Create pipelines/workflows for Source to Target and implement solutions that tackle the client's needs.
• Design, build, optimize and support new and existing data models and ETL processes based on our client's business requirements.
• Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization.
• Coordinate data access and security to enable data scientists and analysts to easily access data whenever they need to.

Requirements
• Bachelor's Degree
• Design, develop, and maintain Ab Initio graphs for extracting, transforming, and loading (ETL) data from diverse sources to various target systems.
• Implement data quality and validation processes within Ab Initio.
• Collaborate with data architects and business analysts to understand data requirements and translate them into effective ETL processes.
• Analyse and model data to ensure optimal ETL design and performance.
• Utilize Ab Initio components such as Transform Functions, Rollup, Join, Normalize, and others to build scalable and efficient data integration solutions.
• Implement best practices for reusable Ab Initio components.

Nice-to-haves
• Master's Degree
• Optimize Ab Initio graphs for performance, ensuring efficient data processing and minimal resource utilization.
• Conduct performance tuning and troubleshooting as needed.
• Work closely with cross-functional teams, including data analysts, database administrators, and quality assurance, to ensure seamless integration of ETL processes.
• Participate in design reviews and provide technical expertise to enhance overall solution quality.

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