Data Engineer-Data Platforms-Azure

Job Description

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. 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 Preferred Education Master's Degree 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 Experience 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