Understanding of the business area that the project is involved with.
Working with data stewards to understand the data sources.
Clear understanding of data entities, relationships, cardinality etc for the inbound sources based on inputs from the data stewards / source system experts.
Performance tuning understanding the overall requirement, reporting impact.
Data Modeling for the business and reporting models as per the reporting needs or delivery needs to other downstream systems.
Have experience to components and languages like Databricks, Python, PySpark, SCALA, R.
Ability to ask strong questions to help the team see areas that may lead to problems.
Ability to validate the data by writing sql queries and compare against the source system and transformation mapping.
Work closely with teams to collect and translate information requirements into data to develop data-centric solutions.
Ensure that industry-accepted data architecture principles and standards are integrated and followed for modeling, stored procedures, replication, regulations, and security, among other concepts, to meet technical and business goals.
Continuously improve the quality, consistency, accessibility, and security of our data activity across company needs.
Experience on Azure DevOps project tracking tool or equivalent tools like JIRA.
Should have Outstanding verbal, non-verbal communication.
Should have experience and desire to work in a Global delivery environment.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: IT & Information SecurityRole Category: IT & Information Security - OtherRole: IT & Information Security - OtherEmployement Type: Contract