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Relevant work experience between 3 to 7 years.
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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
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Proficient hands-on programming experience in Spark/Scala (python/java)
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Proficient in building production level ETL/ELT data pipelines from data ingestion to consumption
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Data Engineering knowledge (such as Data Lake, Data warehouse - Redshift/Hive/Snowflake, Integration, Migration)
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Excellent communicator (written and verbal formal and informal)
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Experience using software version control tools (Git/Bitbucket/code commit).
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Versatile and proactive/self-motivated working style with strong personal ownership of problem resolution.
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Ability to multi-task under pressure and work independently with minimal supervision.
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Must be a team player and enjoy working in a cooperative and cooperative team environment.
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nDesired Skills andExperience (Valuable to Have):
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GCP Certificationpreferred.
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Additional Cloud experience in AWS or Azure preferred.
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nQualification
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Completed undergraduatedegree with outstanding academic credentials (preferably a technical undergrad degree e.G. Computer Science, Engineering)
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