Proficient Experience on designing, building and operationalizing large-scale enterprise data solutions using at least four GCP services among Data Flow, Data Proc, Pub Sub, BigQuery, Cloud Functions, Composer, GCS
Proficient hands-on programming experience in Spark/Scala (python/java)
Proficient in building production level ETL/ELT data pipelines from data ingestion to consumption
Data Engineering knowledge (such as Data Lake, Data warehouse - Redshift/Hive/Snowflake, Integration, Migration)
Excellent communicator (written and verbal formal and informal)
Experience using software version control tools (Git/Bitbucket/code commit).
Adaptable and proactive/self-motivated working style with strong personal ownership of problem resolution.
Ability to multi-task under pressure and work independently with minimal supervision.
Must be a team player and enjoy working in a cooperative and collaborative team environment.
Desired Skills and Experience (Good to Have):
GCP Certification preferred.
Additional Cloud experience in AWS or Azure preferred.
Qualification
Completed undergraduate degree with outstanding academic credentials (preferably a technical undergrad degree e.g. Computer Science, Engineering)