Cloud (GCP) Software Developer
Location and Travel: Remote, Woodland Hills, CA
Roles/Responsibilities:
- Design Build and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Big Table, Cloud Big Query, Cloud Pub Sub, Cloud Functions, etc.
- Analyzing, re-architecting and re-platforming on premise data warehouses to data platforms on GCP cloud using GCP/3rd party services
- Designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Java, Python, Scala etc.
- Architecting and implementing next generation data and analytics platforms on GCP cloud
- Designing and implementing data engineering, ingestion and curation functions on GCP cloud using GCP native or custom programming
- Working with recommendation engines, data pipelines, or distributed machine learning and experience with data analytics and data visualization techniques and software
- Performing detail assessments of current state data platforms and creating an appropriate transition path to GCP cloud
- Designing and implementing at production scale
- Willing to work in various client sites throughout the U.S. Must be willing to travel and/or relocate.
Required Qualifications
- Minimum 7 years of designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Spark, Cloud DataProc, Cloud Dataflow, Apache Beam, BigTable, Cloud BigQuery, Cloud PubSub, Cloud Functions, etc.
- Minimum 2 years of hands-on experience analyzing, re-architecting and re-platforming on premise data warehouses to data platforms on GCP cloud using GCP/3rd party services
- Minimum 2 years of designing and building production data pipelines from ingestion to consumption within a hybrid bigdata architecture, using Java, Python, Scala etc.
- Minimum 2 years of architecting and implementing next generation data and analytics platforms on GCP cloud should have worked in agile environment.
- Proven ability to work effectively in a fast-paced, interdisciplinary, and deadline driven environment.
- Proficient at financial modeling and quantitative analysis.
- Strong problem solving and troubleshooting skills.