Data Engineer-Data Integration

Introduction

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role And Responsibilities

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs.

• Your primary responsibilities include:
• 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 to data whenever they need too
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• 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. Data Modelling and Analysis:
• Collaborate with data architects and business analysts to understand data requirements and translate them into effective ETL processes.
• Analyze and model data to ensure optimal ETL design and performance.
• Ab Initio Components. 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
  
  

Preferred Technical And Professional Experience

• Optimize Ab Initio graphs for performance, ensuring efficient data processing and minimal resource utilization. Conduct performance tuning and troubleshooting as needed. Collaboration.
• 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. Documentation