1. 5-8 yrs exp in Azure (Hands on experience in Azure Data bricks and Azure Data Factory)
2. Good knowledge in SQL, PySpark.
3. Should have knowledge in Medallion architecture pattern
4. Knowledge on Integration Runtime
5. Knowledge on different ways of scheduling jobs via ADF (Event/Schedule etc)
6. Should have knowledge of AAS, Cubes.
7. To create, manage and optimize the Cube processing.
8. Good Communication Skills.
9. Experience in leading a team
Additional Responsibilities:
Good knowledge on software configuration management systems
Strong business acumen, strategy and cross-industry thought leadership
Awareness of latest technologies and Industry trends
Logical thinking and problem solving skills along with an ability to collaborate
Two or three industry domain knowledge
Understanding of the financial processes for various types of projects and the various pricing models available
Client Interfacing skills
Knowledge of SDLC and agile methodologies
Project and Team management
Preferred Skills:
Technology->Big Data - Data Processing->Spark
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time