Functions may include Spark-based ETL framework design and development, programing expertise with Scala/Java, database architecture, engineering, design, optimization, security, and administration; as well as data modeling, storage engineering, data warehousing, data provisioning and other similar roles.
Hands on experience with Azure cloud eco systems components like Storage container, SSO integration , ADFS and Access management.
Responsibilities may include Platform-as-a-Service and Cloud solution with a focus on data stores and associated ecosystems.
Duties may include management of design services, providing sizing and configuration assistance, ensuring strict data quality, and performing needs assessments.
Analyzes current business practices, processes and procedures as well as identifying future business opportunities for leveraging data storage and retrieval system capabilities.
Manages relationships with software and hardware vendors to understand the potential architectural impact of different vendor strategies and data acquisition. May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data.
Selects, develops and evaluates personnel to ensure the efficient operation of the function.