In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and
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.