Data Engineer - Assistant Manager

• Bachelor’s or higher degree in Computer Science or a related discipline; or equivalent (minimum 7 years work experience). 
• At least 4+ years of consulting or client service delivery experience on Google Cloud Platform (GCP)
• At least 4+ years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases such as Cloud SQL, and data warehouse solutions such as BigQuery.
• Extensive experience providing practical direction with using GCP Native services.
• Extensive hands-on experience implementing data ingestion, ETL, and data processing using GCP services: Google Cloud Storage (GCS), Dataflow, Cloud Functions, Cloud Composer, BigQuery, Cloud SQL, Pub/Sub, IoT Core, Dataproc, Dataprep, Bigtable, Firestore, etc.
• Minimum of 4+ years of hands-on experience in GCP and Big Data technologies such as Java, Python, SQL, GCS, Apache Beam, PySpark, and SparkSQL, Dataproc, and live streaming technologies such as Pub/Sub, Dataflow etc.
• Well versed in DevSecOps and CI/CD deployments
• Cloud migration methodologies and processes including tools like Cloud Dataflow and Database Migration Service.
• Minimum of 4+ years of RDBMS experience
• Experience in using Big Data File Formats and compression techniques.
• Experience working with Developer tools such as such as Cloud Build, IntelliJ IDEA, Git, Jenkins, etc.
• Experience with private and public cloud architectures, pros/cons, and migration considerations.
• Experience with DBT and Databricks is a plus.

• Bachelor’s or higher degree in Computer Science or a related discipline; or equivalent (minimum 7 years work experience). 
• At least 4+ years of consulting or client service delivery experience on Google Cloud Platform (GCP)
• At least 4+ years of experience in developing data ingestion, data processing, and analytical pipelines for big data, relational databases such as Cloud SQL, and data warehouse solutions such as BigQuery.
• Extensive experience providing practical direction with using GCP Native services.
• Extensive hands-on experience implementing data ingestion, ETL, and data processing using GCP services: Google Cloud Storage (GCS), Dataflow, Cloud Functions, Cloud Composer, BigQuery, Cloud SQL, Pub/Sub, IoT Core, Dataproc, Dataprep, Bigtable, Firestore, etc.
• Minimum of 4+ years of hands-on experience in GCP and Big Data technologies such as Java, Python, SQL, GCS, Apache Beam, PySpark, and SparkSQL, Dataproc, and live streaming technologies such as Pub/Sub, Dataflow etc.
• Well versed in DevSecOps and CI/CD deployments
• Cloud migration methodologies and processes including tools like Cloud Dataflow and Database Migration Service.
• Minimum of 4+ years of RDBMS experience
• Experience in using Big Data File Formats and compression techniques.
• Experience working with Developer tools such as such as Cloud Build, IntelliJ IDEA, Git, Jenkins, etc.
• Experience with private and public cloud architectures, pros/cons, and migration considerations.
• Experience with DBT and Databricks is a plus.

Completed undergraduate degree with outstanding academic credentials (preferably a technical undergrad degree e.g. Computer Science, Engineering)Relevant work experience 7+ years.