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Sr Data Engineer

3 months ago

Phoenix, Arizona, United States SMBC Full time

ABOUT THE ORGANIZATION

SMBC MANUBANK was formed by a group of banking entrepreneurs in June 1962. Our scope is to serve the specialized needs of California middle-market businesses, manufacturers, wholesalers, distributors, importers, exporters, and service companies, including small businesses and professionals.

The anticipated salary range for this role is between $126,000.00 and $196, 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.

Our mission is to be "the bank of choice" for middle market and professional service companies by establishing long term customer relationships and loyalty, providing superior products and services through a core of highly skilled and seasoned bankers.

To achieve our mission to be the 'bank of choice' for middle market and professional services companies, we are focused on our vision to be the premier California regional business bank that can provide the sophistication and expertise of a larger institution with the personal 'high touch' services of a smaller bank.

Specialties:

Commercial Loans and Lines of Credit, Asset-Based Financing, SBA Loans, and Specialized Financing, Real Estate Loans, Cash Management Services, International Services

PRINCIPAL DUTIES AND RESPONSIBILITIES

Solid experience with Database design practices and data warehousing concepts.

Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse.

Expertise with coding and implementing data pipelines in cloud-based data infrastructure in batch and streaming ETL using Data Factory, Spark, Python, Scala on Databricks.

Experience working with Google Big Query, Dataflow and Dataproc.

Optimize data ingestion and transformation processes to ensure efficient and scalable data flows, Monitor and optimize database performance, including query tuning and index optimization.

Develop and maintain data models, schemas, and data dictionaries for efficient data storage and retrieval.

Perform data analysis, data profiling, and data cleansing to ensure data quality and accuracy, data validation, quality checks, and troubleshooting to identify and resolve data-related issues.

Develop Power BI dashboards, reports, and visualizations to effectively communicate data insights. Implement data transformations, data modeling, and data integration processes in Power BI.

Create and maintain technical documentation related to database structures, schemas, and Reporting solutions.

Experience with MS office tools like excel, word, power point.

Experience working with build and deploy tools Azure DevOps, GitHub, Jenkins.

Experience working on an Agile Development team and delivering features incrementally.

Stay up to date with industry trends and best practices in data engineering, Power BI and proactively recommend and implement improvements to our data infrastructure.

Ability to multi-task, be adaptable, and nimble within a team environment.

Strong communication, interpersonal, analytical and problem-solving skills.

POSITION SPECIFICATIONS

Experience with API/REST, JSON

Experience in Banking and Financial Domains.

Experience in Cloud environment like GCP, Azure and AWS.

Familiarity with a variety of programming languages, like Java, JavaScript, C/C++.

Familiarity with containerization and orchestration technologies (Docker, Kubernetes) and experience with shell scripting in Bash, Unix or windows shell is preferable.

Experience with Power Automate and Power Apps.

Education: Bachelors degree in computer science or information system along with work experience in a related field.

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 Persons with disabilities may contact our Customer Contact Center toll-free at to request the information in this Notice in an alternative format.