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

• Software Development Life Cycle (SDLC) framework IT Service Management procedures development solutions which run on multiple platforms.
• Will be playing role in multiple software packages and technologies.
• This role is responsible for performance availability and scalability of the applications.

Required Technical and Professional Expertise

• BE / B Tech in any stream M.Sc. (Computer Science/IT) / M.C.A with Minimum 3-5 years of mandate experience in Data & Technology Transformation
• Experience in Designs and builds solutions to move data from operational and external environments to the business intelligence environment using Data Integration applications (PySpark for ETL Pipelines & Pulsar for CDC component).
• Experience in Skills include designing and developing extract transform and load (ETL) processes.
• Experience includes full lifecycle implementation of the technical components of a business intelligence solution.

Preferred Technical and Professional Expertise

• Experience Fast-learner and proven critical-thinker; able to assess complex issues and mitigate risk skilled in analysis troubleshooting and process improvement and oversight
• Strong interpersonal presentation and organization skills; comfortable with coaching teaching and monitoring Java best practices.
• High proficiency in MS Word Excel and PowerPoint.