Job Description

Company Description

Momentum Financial Services Group, formerly Money Mart Financial Services is a leading provider of financial services in North America. For 40 years we\'ve been committed to providing financial solutions that meet the evolving needs of consumers and business owners. Backed by a retail network of over 450 locations and robust digital and mobile platforms, we provide access to cash and related products to help our customers achieve their goals. We operate retail locations in local communities and cities across Canada under the Money Mart\xc2\xae brand and in Quebec as Insta Cheques\xc2\xae and in United States as Money Mart\xc2\xae and The Check Cashing Store\xc2\xae.

Our highly skilled workforce puts customers first in everything we do. We serve millions of people annually with diverse and innovative financial products and services. Through this ever-evolving suite of services, we empower customers to manage their finances and improve their lives. Wherever customers are on their financial journey, Momentum Financial Services Group provides solutions.

We believe in giving back to the communities where we live and work. With the generous support of our customers and staff, we proudly contribute over two hundred & fifty thousand dollars annually to charities and non-profit organizations, along with using our time and talent to serve in local communities throughout Canada and the United States. We are looking for aspiring, passionate people who are dedicated to understanding and providing our customers with the right financial solutions utilizing a growing menu of products and services. We embrace diversity and offer a fast-paced work environment.



#LI-Remote

GENERAL FUNCTION

The Data Engineer team is looking for a Senior Data Engineer to lead securitization data and process engineering, with primary focuses including data structures, data processes, and other data engineering deliverables.

DUTIES/RESPONSIBILITIES

• Lead data engineering and process engineering of Momentum\xe2\x80\x99s loan securitization processes \xe2\x80\x93 a critical component of the business with excellent visibility to the top levels of management
• Develop and deliver long-term goals for data architecture standards
• Create short-term tactical solutions to achieve long-term data management objectives
• Be a key part of Momentum\xe2\x80\x99s Data strategy by developing the next-gen Dynamic Data Engineering framework
• Enhance the data lake platform, acquiring additional data sources \xe2\x80\x93 both structured and unstructured
• Lead the reporting data structure design and oversee the design phases of the projects, assuring that design conforms to established architectural design guidelines and standards
• Ensure the success of enterprise-level application rollouts; connect vendors and providers to select products and services that meet the company\'s goals
• Develop a highly scalable and extensible Big Data platform, which enables collection, storage, modeling, and analysis of massive data sets from numerous channels
• Play an active role in exploring and implementing best practices related to modern Big Data Analytics technologies and applications/uses (e.g., best practices related to business intelligence analysis and new service

Qualifications

EDUCATION

• Required: BS in computer science or in a related technical field
• Preferred: Master\xe2\x80\x99s degree in computer science or in a related technical field
• EXPERIENCE
• 5+ years of relevant experience in a data engineering / analytics domain, with at least 1 year in digital analytics
• 5+ years of experience in financial services, within a functional area related to loan securitization and/or loan servicing
• 7+ year of data analysis, data modeling, and/or data management experience
• Experience with building a data lake in the cloud (e.g., Azure, ADF, Synapse)
• Strong experience with SQL and one other programming language (e.g., Python, .NET, Java)
• Hands-on experience parsing NoSQL file systems such as JSON, XML, AVRO, and Parquet
• Exposure to traditional BI tools (e.g., Tableau, Power BI, Qlik, SSRS)
• Experience driving projects that merge digital and transactional data for advanced analytics
• Experience implementing data lake projects
• Experience building web-services is a plus
• Functional knowledge of financial instruments such as installment loans and payday loans, as well as relevant data domains such as loans, underwriting, collections, promotions, call center data, and fraud
• Nice-to-have: Strong knowledge of Big Data technologies such as Databricks, event-driven data processing using Lambda or similar apps/services

SKILLS

• We\xe2\x80\x99re looking for someone who is highly skilled/knowledge in the following areas:

• Azure/Synapse, ETL tasks, and Azure Data Factories
• Web services (SOAP, XML, UDDI, WSDL)
• Data quality control frameworks (e.g., while sourcing data)
• SQL-based data analysis
• Related to Databricks: Delta Lake, Python scripting, and Python libraries (NumPy, Pandas)
• Tableau (preferred), Power BI, Qlik
• Digital data analysis and visualization (reporting) creation
• AI/ML, BI, and data lake related implementations
• SQL Server, SSIS, and NoSQL

Additional Information

BENEFITS

• Medical / Dental/ Vision benefits available
• Company paid life insurance
• Paid holidays
• PTO / 401K / Tuition Reimbursement
• All your information will be kept confidential according to EEO guidelines.

We invest in our employees, and offer extensive training, and development programs to set you up for future success. If we sound like a fit and you\xe2\x80\x99re ready to start an exciting career with an organization that encourages employee growth, apply today! We look for bright, energetic, motivated individuals who are interested in learning and developing their career.

Momentum Financial Services Group