Mandatory Skills 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). Flexible 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)