Data Engineer: Data Platforms-Azure

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

• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• 7+ Yrs. total experience in Data Engineering projects & 4+ years of relevant experience on Azure technology services and Python
• Azure: Azure data factory, ADLS- Azure data lake store, Azure data bricks,
• Mandatory Programming languages: Py-Spark, PL/SQL, Spark SQL
• Database: SQL DB
• Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with object-oriented/object function scripting languages: Python, SQL, Scala, Spark-SQL etc.
• Data Warehousing experience with strong domain

Required Technical and Professional Expertise

• Intuitive individual with an ability to manage change and proven time management
• 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

Preferred Technical and Professional Expertise

• Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with object-oriented/object function scripting languages: Python, SQL, Scala, Spark-SQL etc.