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Must Have Experience In The Following
2 years of professional experience processing data with a massively parallel technology (including Snowflake Redshift and Spark or Hadoop based big data solution);
2 years of professional experience prototyping Pythonbased ETL solutions and translating complex requirements into actionable tools;
2 years of professional experience utilizing SQL including advanced query optimization;
2 years of professional experience with data modeling and relational database technologies utilizing data warehousing systems including Snowflake and Redshift;
2 years of professional experience utilizing cloud platforms including AWS or GCP;
and 2 years of professional experience utilizing Spark for distributed data processing.
3 years of professional experience as a Data Engineer Information Architect or any occupation/position/job title involving data engineering including constructing ETL pipelines in a production environment.
Full Time