Job Description :
Preferred Qualifications:
Strong cloud data architecture knowledge with experience developing architecture strategies and plans to enable cloud data transformation, MDM, data governance, and data science capabilities.
Design reusable data architecture and best practices to support batch/streaming ingestion, efficient batch, real-time, and near real-time integration/ETL, integrating quality rules, and structuring data for analytic consumption by end uses.
Ability to lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting a final recommendation.
Well versed in the Data domains (Data Warehousing, Data Governance, MDM, Data Quality, Data Catalog, Analytics, BI, Operational Data Store, Metadata, Unstructured Data, ETL, ESB
Experience with cloud data technologies such as Azure data factory, Azure storage, Azure data lake storage, Azure data bricks, Azure AD, Azure ML etc.
Experience with big data technologies such as Hadoop, Spark, Sqoop, Hive, Flume, Storm, and Kafka.
             

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