Excellent knowledge and experience of data quality validation and data pipeline testing.
Proven track record of implementing data QA testing automation frameworks.
Experience defining, building, automating, and executing test cases in an agile practice and according to the sprint planning.
Excellent understanding of Big Data and noSQL Technologies (Hadoop / Neo4J / ElasticSearch / MongoDB)
Excellent knowledge and experience of data query tools (SQL / Spark / Hive / Cypher / REST APIs)
Proficiency in Scala, Python or Java.
Functional knowledge of financial services and financial crime domain: due diligence, risk assessment, screening, transaction monitoring, etc.
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