Data Engineer Data Integration (ETL)

Introduction
In this role you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers) where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world.​ Our delivery 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
We are looking for motivated and tech-passionate graduates to:

• Develop and maintain a strong working relationship with business and technical members of the team
• Relentless focus on quality and continuous improvement
• Perform root cause analysis of reports issues
• Development / evolutionary maintenance of the environment performance capability and availability.
• Assisting in defining technical requirements and developing solutions
• Effective content and source-code management troubleshooting and debugging
• Facilitating data integration data conformity data integrity and ensuring data structures are designed for flexibility to support future business needs and enhancements.

Required Technical and Professional Expertise

• Proven experience with one of the following ETL/Data Integration tools:
  • IBM InfoSphere DataStage
  • Azure Data Factory
  • Informatica PowerCenter
  • Oracle ODI
  • Talend
• Hands on experience preferably data heavy / analytics applications leveraging relational and NoSQL databases data warehouse and big data
• Advanced SQL programming PL/SQL or T-SQL

Preferred Technical and Professional Expertise

• Agile mindset – ability to process changes of priorities and requests ownership critical thinking

One of the following:

• Experience with Spark Scala or Python
• Experience with Data Governance tools (e.g. IBM Information Governance Catalog IBM Watson Knowledge Catalog Collibra)
• Experience with a business intelligence tool (e.g.IBM Cognos Power BI SAP BI Oracle OBIEE SAS Visual Analytics/ Viya)
• Experience with IBM Watson Studio or IBM SPSS
• Experience with various cloud and integration platforms (e.g. AWS Google Azure)