Sumitomo Mitsui Banking Corporation-posted 4 months ago
$85,000 - $170,000/Yr
Senior
WA

Join our mission to create a completely new, 100% digital bank that uses consumer feedback to truly meet customers’ best interests. Jenius Bank, a division of SMBC MANUBANK, and a member of SMBC Group, is being built by a close-knit and fun-loving team of financial services professionals and technology experts who came together for the challenge of building a full-service digital bank from scratch. We’re committed to doing it the right way for the customer and are growing rapidly. Jenius Bank is strategically scaling up a portfolio of products and building extraordinary experiences. In 2023, we launched our first two products reaching $1 billion in deposits and over $700 million in loans, all before Jenius Bank’s first anniversary. We don’t plan to slow down, with ambitious growth plans and the capital necessary to execute a multi-year strategic plan. We have a start-up mindset paired with SMBC Group’s 400 years of history. Join us on the journey that has caught the attention of the Banking Dive, and more to reinvent banking where smarter banking translates to a richer life.

  • Design, develop, and optimize robust data pipelines and ETL processes.
  • Build reusable libraries and shared capabilities to enable faster time to market by Data Engineering delivery teams.
  • Architect and implement scalable data solutions using the GCP cloud platform.
  • Work on continually improving our platform capabilities and maintaining overall platform health as we evolve to address our growing needs.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Ensure data quality, integrity, and security across all data systems.
  • Mentor and guide junior data engineers and contribute to best practices.
  • Monitor, troubleshoot, and improve data workflows and performance.
  • Provide capabilities leveraging automation to aid delivery teams as they perform data validation, testing, and deployments.
  • Stay updated with emerging data engineering technologies and trends.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 7+ years of experience in data engineering or related roles.
  • Highly proficient in Python and SQL.
  • Well versed in the nuances of software engineering and systems design.
  • Hands-on experience with cloud data platforms (GCP, AWS, or Azure - GCP Preferred).
  • Hands-on experience with Apache Airflow/Composer, Beam/Dataflow and Spark/Dataproc.
  • Experience working in Linux/Unix/*nix environments.
  • Strong knowledge of ETL tools and data modeling.
  • Competitive salary range between $85,000.00 and $170,000.00.
  • Annual discretionary incentive award.
  • Competitive portfolio of benefits.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service