Must have domain technical experience in delivering data engineering solutions using data lake technology Experience with the following: Hadoop (CDH), relational databases and SQL, ETL development, spark, data validation and testing (Data Warehousing, ETLELT to the Data Lake, Using the Data Lake for data analysis (Hadoop tools Hive, Impala, Pig, Sqoop, Hue, Kafka, etc