Big Data Engineer

Introduction
In this role, you’ll work in our IBM Client Innovation Center (CIC), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. These centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

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 client’s needs.

Your primary responsibilities include:

• Design, build, optimize and support new and existing data models and EL processes based on our clients 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.

Required Technical and Professional Expertise

• Solid hands-on experience with HADOOP, SPARK and HIVE using Java. Expert level knowledge in Spark Tuning and ensuring best practices across project.
• Experience in Big Data Architecture, tools and technologies. Experience leading teams and interfacing with stakeholders across project in technical and functional areas. Experience interfacing with end users.
• A detailed understanding and experience of development best practices in below areas: Continuous Integration, branching and merging, pair programming, code reviews, unit testing, agile methodologies (Scrum/XP),
• Design Patterns UNIX/ Shell scripting. RDBMS, preferably MariaDB, MySQL. CI/CD concepts. YARN Scheduling Tools and techniques Core JAVA Scala Hand

Preferred Technical and Professional Expertise

• Proven interpersonal skills while contributing to team effort by accomplishing related results as needed
• Up-to-date technical knowledge by attending educational workshops, reviewing publications