Bachelor degree in Computer Science, Mathematics or a related technical field or equivalent practical experience. Certifications Minimum: Google Professional Data Engineer, Google Professional Cloud Architect Preferred: AWS Big Data Speciality Certification +3 years direct experience in Enterprise Data Warehouse technologies. +3 years in a customer facing role working with enterprise clients Experience with architecting, implementing and/or maintaining technical solutions in virtualized environments. Experience in design, architecture and implementation of Data warehouses, data pipelines and flows. Experience with developing software code in one or more languages such as Java, Python and SQL. Experience designing and deploying large scale distributed data processing systems with few technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, Qlik or MicroStrategy. Customer facing migration experience, including service discovery, assessment, planning, execution, and operations. Demonstrated excellent communication, presentation, and problem solving skills. Experience in project governance and enterprise customer management. Hadoop Ecosystem Apache Hive Apache Spark Sqoop Oozie Desirable: - Dataproc experience - Python - Bash