Big Data Engineer

Key Skills

Aartificial intelligence, Apache Kafka, Big Data Technology, Design, Java Programming, KSql, Logistic Regression, Scala Programming, Writing

Job Description

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 work on enterprise scale data platforms, Designed Kafka queue, Expected to have Hands-on development experience
• Lead a team on technical front and achieve client deliverables successfully,
• Strong technical abilities to understand, design, write and debug to develop applications on Big Data technologies.
• Relevant experience on Big Data Eco System

Required Technical and Professional Expertise

• Extensive knowledge of generating business events from multiple tables in KSQL.
• Extensive knowledge of KSQL KB, Streams, KSQL Tables Map multiple streams to business events to track changes on multiple changes from multiple sources, this would include overcoming issues with joining tables on foreign keys(parent to child) and partition issues.
• Candidate must be hands-on with using the Kafka stream libraries using Java 8/11 for developing consumer services

Preferred Technical and Professional Expertise

• logistics domain experience is desirable