Senior Software Development Engineer

• You will work on ingesting, transforming, and analyzing large datasets to support the Enterprise Securitization Solution
• Experience with large scale solution and operationalization of data lakes, data warehouses, and analytics platforms on Google Cloud Platform or other cloud environments is a must
• Work in collaborative environment that leverages paired programming
• Work on a small agile team to deliver curated data products
• Work effectively with product owners, data champions and other technical experts
• Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions
• Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles
• Be the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated third-party technologies

• 5+ years of SQL development experience
• 5+ years of analytics/data product development experience required
• 3+ years of Google cloud experience with solutions designed and implemented at production scale
• Experience working in GCP native (or equivalent) services like Big Query, Google Cloud Storage, Dataflow, Dataproc, etc
• 2+ Experience working with Airflow for scheduling and orchestration of data pipelines
• 1+ Experience working with Terraform to provision Infrastructure as Code
• 2 + years professional development experience in Python
• In-depth understanding of Google's product technology (or other cloud platform) and underlying architectures
• Experience with development eco-system such as Tekton/Cloud Build, Git

Even better, you may have. . .

• In-depth understanding of Google's product technology (or other cloud platform) and underlying architectures
• Experience in working with DBT/Dataform

• You will work on ingesting, transforming, and analyzing large datasets to support the Enterprise Securitization Solution
• Experience with large scale solution and operationalization of data lakes, data warehouses, and analytics platforms on Google Cloud Platform or other cloud environments is a must
• Work in collaborative environment that leverages paired programming
• Work on a small agile team to deliver curated data products
• Work effectively with product owners, data champions and other technical experts
• Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions
• Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles
• Be the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated third-party technologies