Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree preferred)
Requirements:
5+ years' experience in data engineering
Strong data warehousing and data lake architecture experience
Data Vault and dimensional modelling techniques
SQL experience
Big data experience such as Hadoop, Spark, AWS EMR
Experience with data streaming technologies such as Kafka, AWS
Cloud technologies and ETL Tools
KPAs:
Design and develop data warehousing and data lake solutions
Ensure data accuracy
Implement ETL processes using tools such as AWS Glue, Azure Data Factory, Matillion, SSIS, Informatica, Talend, and Ab Initio
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