Bachelor's degree
Builds high performance, scalable data products for analytics & Reporting
Defines data engineering/architecture best practices at a team level
Follows new industry trends (e.g. Data Engineering) and designs solutions for complex systems to meet ambiguous business needs
Understand data access patterns, streaming technology, data validation, data modeling, data performance
Experience working with Azure
Experience working with Docker and Kubernetes
Experience working Databricks
Experience working with Agile delivery practices
Data orchestration tool such as Airflow
CI/CD principles
Version control with Git
Displays strength in languages such as Python, Scala, SQL
Makes choices across teams to define and apply technology and design standards and best practices
Mandatory Skills :
Data Modelling & Analytical skills, Programming on Python, Scala, SQL; Azure, Databricks, Docker & Kubernetes
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