What are the responsibilities and job description for the Data Engineer position at East West Bank?
Introduction
Since 1973, East West Bank has served as a pathway to success. With over 120 locations across the U.S. and Greater China, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates’ potential for career advancement.
Headquartered in California, East West Bank (Nasdaq: EWBC) is a top performing commercial bank with an exclusive focus on the U.S. and Greater China markets, with total assets over $61.0 billion*. And since 2010, we have been recognized by Forbes magazine as one of “America’s Best Banks.” With a strong foundation, and enterprising spirit and a commitment to absolute integrity, East West Bank gives people the confidence to reach further.
*As of 9/30/2021
Overview
East West Bank is seeking a Data Engineer. The Data Engineer works with banking data and business units to propose, design, and deliver business solutions. The data engineer will collect and analyze data wherever it resides, including in spreadsheets, files, databases, and APIs. The data engineer will create reports, dashboards, and other visualizations and they will develop applications that collect data from users to enrich enterprise data sets to improve their completeness and accuracy.
Responsibilities
- Design, implement, deploy and maintain Data solutions written in SQL, Python, C#, and R.
- Collaborate with team members and business units to Deliver Data-Oriented solutions to the enterprise.
- Build data pipelines for analysts to build create solution in Python, R, SSRS, Power BI, Excel and other visualization tools.
- Build high-performance algorithms, predictive models, and prototypes.
- Translate, cleanse and normalize large datasets.
- Collect and document business requirements.
- Maintain functional and technical artifacts including design documents, data mappings, architecture, data models, and dictionaries.
- Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
- Be self-driven, and show ability to deliver on ambiguous projects in spite of incomplete or inaccurate data
- An ability and interest in working in a fast-paced and rapidly-changing environment.
Qualifications
- Experience with data modeling, data warehousing, SQL and building ETL pipelines.
- Experience with .Net Framework
- Experience with object-oriented programming languages (R, Python, C#).
- Proficiency with schema design and dimensional data modeling.
- Experience analyzing data to identify gaps and inconsistencies.
- Hands on experience in Data Visualization or advance analytics using Power BI
- Master’s in computer science, mathematics, statistics, economics, or other quantitative fields.
- Experience providing technical leadership and educating other engineers for best practices on data engineering.
- Strong customer focus, ownership, urgency, and drive.
- Excellent communication skills.
- Effective analytical, troubleshooting, and problem-solving skills.
- Product knowledge in Loans, Deposits, and Banking operations.
