At least 5 to 8 years of experience in Data engineering and who can design, create, deploy, and manage an organizational data architecture. Candidate will be responsible for defining, how the data is stored, consumed, integrated and managed by different data entities and IT systems and any applications using or processing that data in some way. Strong SQL knowledge (Handson) to do data profilingDesign Master Data Management (MDM) solutions using AuGR MDM or any other MDM toolsGood ETL knowledge using Python or AWS ETL solutions such as PySpark/GlueStandardize, validate, cleanse and keep up to date master dataUnderstanding data management concepts, including data governance, quality, modelling and integrationThe candidate should be closely allied with business architecture. He should be closely working with the enterprise architect as needed.
At least 5 to 8 years of experience in Data engineering and who can design, create, deploy, and manage an organizational data architecture. Candidate will be responsible for defining, how the data is stored, consumed, integrated and managed by different data entities and IT systems and any applications using or processing that data in some way. Strong SQL knowledge (Handson) to do data profiling Design Master Data Management (MDM) solutions using AuGR MDM or any other MDM tools Good ETL knowledge using Python or AWS ETL solutions such as PySpark/Glue Standardize, validate, cleanse and keep up to date master data Understanding data management concepts, including data governance, quality, modelling and integration The candidate should be closely allied with business architecture. He should be closely working with the enterprise architect as needed.
