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)
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Experience using software version control tools (Git/Bitbucket/code commit).
? Versatile 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 cooperative team setting.
Desired Skills and Experience (Good to Have):
? GCP Certification preferred.
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Additional
Cloud experience in AWS or Azure preferred.
Qualification
? Completed undergraduate degree with outstanding academic credentials (preferably a technical undergrad degree e.g.