Sr. Software Engineer - Data (Hybrid in PHX)

Join us on our mission to create a completely new, 100% digital bank that truly serves customers' best interests. We are a close-knit and fun-loving team of seasoned financial services professionals who came together for the challenge of building a bank from scratch - and we are committed to doing it all the right way (from technology infrastructure to modern marketing to customer experience). The anticipated salary range for this role is between $100,000.00 and $170,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees. We work with the flexibility and speed of a start-up. But we also have significant stability and capital from being part of the SMBC Group (Sumitomo Mitsui Banking Corporation). SMBC is the second largest bank in Japan and the 12th largest bank in the world with operations in over forty countries. And SMBC is committed to disrupting the US marketplace with ground-breaking products. It is the best of both worlds, and we are seeking proven marketing leaders to propel us towards a national launch. We have both the ambitious growth plans and the 'patient capital' necessary to execute a multi-year plan. Join us on the journey to deliver an exciting concept of evolved banking. SUMMARY: This is for a Sr. Software Engineer (Data Engineer) that will be a part of our Datawarehouse and Reporting team and will be responsible for working on and building out data products and capabilities in the Datawarehouse space that will be leveraged to enhance our customers lives. They have solid cloud experience GCP preferred and have a solid Data engineering background. PRINCIPAL DUTIES AND RESPONSIBILITIES: A solid experience and understanding of considerations for large-scale solutioning and operationalization of data warehouses, data lakes and analytics platforms on GCP is a must. Monitors the Data Lake and Warehouse to ensure that the appropriate support teams are engaged at the right times. Design, build and test scalable data ingestion pipelines, perform end to end automation of ETL process for various datasets that are being ingested. Participate in peer review and provide feedback to the engineers keeping development best practices, business and technical requirements in view Determine best way to extract application telemetry data, structure it, send to proper tool for reporting (Kafka, Splunk). Work with business and cross-functional teams to gather and document requirements to meet business needs. Provide support as required to ensure the availability and performance of ETL/ELT jobs. Provide technical assistance and cross training to business and internal team members. Collaborate with business partners for continuous improvement opportunities. POSITION SPECIFICATIONS: 5 years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics. 4 years of experience with one of the leading public clouds. 4 years of experience in design and build of salable data pipelines that deal with extraction, transformation, and loading. 4 years of experience with Python, Scala with working knowledge on Notebooks. 2 years hands on experience on GCP Cloud data implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc.). At least 2 years of experience in Data governance and Metadata Management. Ability to work independently, solve problems, update the stake holders. Analyze, design, develop and deploy solutions as per business requirements. Strong understanding of relational and dimensional data modeling. Experience in DevOps and CI/CD related technologies. Excellent written, verbal communication skills, including experience in technical documentation and ability to communicate with senior business managers and executives. EOE STATEMENT We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law. CCPA DISCLOSURE Personal Information Collection Notice: This notice contains information under the California Consumer Privacy Act (CCPA) about the categories of personal information (PI) of California residents that SMBC MANUBANK collects and the business or commercial purpose(s) for which the PI may be used. We do not sell PI. More information about our collection and use of PI may be found in our CCPA Privacy Policy at https://www.smbcmanubank.com/privacy/ccpa-disclosure. Persons with disabilities may contact our Customer Contact Center toll-free at (877) 560-9812 to request the information in this Notice in an alternative format.vironment.