Data Engineer-Data Integration

Key Responsibilities

• Design, build, optimize, and support new and existing data models and ETL processes based on client requirements.
• Build, deploy, and manage scalable data infrastructure to handle the needs of a growing data-driven organization.
• Coordinate data access and security to ensure data scientists and analysts have timely access to required data.
• Design, develop, and maintain Ab Initio graphs for ETL from diverse sources to various targets.
• Implement data quality and validation processes within Ab Initio.
• Collaborate with data architects and business analysts to translate requirements into efficient ETL processes.
• Analyze and model data to ensure optimal ETL design and performance.
• Utilize Ab Initio components (Transform Functions, Rollup, Join, Normalize, etc.) to build scalable, efficient data integration solutions.
• Implement best practices for reusable Ab Initio components.
• Optimize Ab Initio graphs for performance, including tuning and troubleshooting as required.
• Work closely with cross-functional teams (analysts, DBAs, QA) to ensure smooth integration of ETL processes.
• Participate in design reviews and provide technical expertise to enhance solution quality.
• Document processes and designs to ensure maintainability and knowledge sharing.

Skills Required

Data Engineer, Ab Initio, Performance Tuning, Data Processing, data engineering , data infrastructure