Data Engineer II

Engineering, Engineer, Computer, Apache, SQL, Informatica, Database, Oracle, Python, Java, System
Full Time

Job Description

BE PART OF A BANK LIKE NO OTHER.

When you work with the world's most innovative companies, you know you're making a difference.

Our clients are the game changers, leaders and investors who fuel the global innovation economy. They're the businesses behind the next medical breakthroughs. And the visionaries whose new technologies could transform the way people live and work.

They come to SVB for our expertise, deep network and nearly forty years of experience in the industries we serve, and to partner with diverse teams of passionate, enterprising SVBers, dedicated to an inclusive approach to helping them grow and succeed at every stage of their business.

Join us at SVB and be part of bringing our clients' world-changing ideas to life. At SVB, we have the opportunity to grow and collectively make an impact by supporting the innovative clients and communities SVB serves. We pride ourselves in having both a diverse client roster and an equally diverse and inclusive organization. And we work diligently to encourage all with different ways of thinking, different ways of working, and especially those traditionally underrepresented in technology and financial services, to apply.

Job Description

Make Next Happen Now. For over 30 years, Silicon Valley Bank (SVB) has helped innovative companies and their investors move bold ideas forward, fast. SVB provides targeted banking services to companies of all sizes in innovation centers around the world. The Data Engineering team at Silicon Valley Bank is responsible for delivering data solutions that support all lines of business across the organization. This includes providing data integration services for all batch data movement, managing, and enhancing the data warehouse, Data Lake & data marts, and providing support for analytics and business intelligence customers. Do you get excited when you see data? Constantly looking for value in Data? If that is you, we are looking for you. As a Data Engineer, you will build, append and enhance our existing enterprise data warehouse. You will get an opportunity to closely work with business teams and other application owners, understand the core functionality of banking, credit, risk and finance applications and associated data. You will build data pipelines, tools, and reports that enable analysts, product managers, and business executives. Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience 5+ years of relevant work experience in analytics, data engineering, business intelligence or related field, and 5+ years professional experience 2+ years of experience in implementing big data processing technology: Hadoop, Apache Spark, etc. Experience using SQL queries, experience in writing and optimizing SQL queries in a business environment with large-scale, complex datasets Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environments Hands on experience on major ETL tools like Ab Initio, Informatica / IICS, BODS and/or any cloud based ETL tools. Hands on experience with scheduling tools like Control-M, Redwood or Tidel. Expects good understanding and experience on reporting tools like Tableau, BOXI etc. Good understanding of Database and data warehouse concepts. Should have hands on experience on major DBs like Oracle, sqlserver, postgres. Should have awareness about no SQL DB. Hands on experience in cloud technologies (AWS /google cloud/Azure ) related to Data Ingestion tool ( both real time and batch based), CI/CD process, Cloud architecture understanding , Big data implementation. AWS certification is a plus and working knowledge of Glue, S3, Athena, Redshift is a plus. Preferred Qualifications Graduate degree in Computer Science, Mathematics, Statistics, Finance, related technical field Strong ability to effectively communicate with both business and technical teams Demonstrated experience delivering actionable insights for a consumer business Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc.) Basic Experience with Cloud technologies Experience in banking domain is a plus

© 2021 SVB Financial Group. All rights reserved. SVB, SVB FINANCIAL GROUP, SILICON VALLEY BANK, MAKE NEXT HAPPEN NOW and the chevron device are trademarks of SVB Financial Group, used under license. Silicon Valley Bank is a member of the FDIC and the Federal Reserve System. Silicon Valley Bank is the California bank subsidiary of SVB Financial Group (Nasdaq: SIVB ).

Equal Employment Opportunity

Silicon Valley Bank is an equal opportunity employer and is dedicated to expanding its commitments and investments to create a more diverse, equitable and inclusive company culture and innovation ecosystem. We are strongly committed to the values and policy of equal employment opportunity across our employment practices.

Silicon Valley Bank is registered in England and Wales at Alphabeta, 14-18 Finsbury Square, London EC2A 1BR, UK under No. FC029579. Silicon Valley Bank is authorised and regulated by the California Department of Business Oversight and the United States Federal Reserve Bank; authorised by the Prudential Regulation Authority with number 577295; and subject to regulation by the Financial Conduct Authority and limited regulation by the Prudential Regulation Authority. Details about the extent of our regulation by the Prudential Regulation Authority are available from us on request.
Dice Id : RTL102837
Position Id : 9108
Originally Posted : 4 months ago
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