Data Engineer, Card Products

Toronto, Canada

Momentum Financial Services Group

Momentum Financial Services Group provides access to cash, financial products, and services through our family of brands that are supported by our robust retail network, digital, and mobile platforms to help our customers achieve their goals.

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Momentum 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. Through our retail network of over 400 locations, known as Moneymart, Insta Cheques and the Cheque Cashing store, we provide access to cash and related products to help our customers achieve their goals.

Our highly skilled workforce puts customers first in everything we do. We serve 2 million people annually with diverse and innovative financial products such as loans, cheque cashing, money transfer and prepaid cards. 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. 

GENERAL FUNCTION

As a Data Engineer focused on Card Products, you will play a key role in designing and developing the next-gen Dynamic Data Engineering framework. This role will work closely with Data Scientists, Product Managers, and other Engineering teams to ensure that card transaction data, customer behavior metrics, fraud indicators, and operational performance data are accurate, timely, and accessible for analysis and reporting.

DUTIES/RESPONSIBILITIES

  • Lead the reporting data structure design and oversee the design phases of the projects, ensuring that design conforms to established architecture design guidelines and standards
  • Support the enhancement of data lake platforms acquiring additional data sources - structured and unstructured
  • Develop and deliver long-term goals for data architecture standards
  • Create short-term tactical solutions to achieve long-term objectives and data management roadmap
  • Ensure the success of enterprise-level application roll-outs; connect vendors and providers to select products and services that meet the company's goal
  • Develop highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels
  • Be an active part in analyzing and constantly learning the latest Big Data technologies and their innovative applications in both business intelligence analysis and new service offerings, adopt and implement these insights and best practices
  • Drive projects that merge digital and transactional data for advanced analytics.

EDUCATION

  • Bachelor’s degree in Computer Science, Data Engineering, or a related field (Master’s preferred).

EXPERIENCE

  • 3+ years of relevant experience in Data Engineering / Analytics domain with at least 1 year in Digital Analytics
  • 3+ years of experience in data analysis, data modeling and data management
  • Experience with building a data lake over Cloud / Azure, ADF, Synapse, and Databricks – Delta Lake
  • Strong experience with SQL and one other programming language (Python/ .NET/ Java)
  • Hands on Experience parsing NOSQL file systems such as JSON, XML, AVRO, Parquet.
  • Proven track record of using Apache Spark Data Bricks or Snowflake
  • Exposure to traditional BI Tools (Tableau, Power BI, Qlik, SSRS, etc.)
  • Experience building web-services is a plus.
  • Strong understanding of Python scripting and use of libraries (Numpy, Pandas)

SKILLS

  • Functional knowledge of financial instruments such as Installment Loans, Payday Loans and data domains such as loans, underwriting, collection, promotions, call center data, Fraud, etc.
  • Strong knowledge of Big Data technologies such as Data Bricks, Event driven data processing using Function Apps/Lambda is preferred
  • Understanding of Web services (SOAP, XML, UDDI, WSDL)
  • Excellent problem-solving and analytical skills.
  • Ability to work independently and in cross-functional teams.
  • Strong communication skills for both technical and non-technical audiences

Additional Information

All your information will be kept confidential according to EEO guidelines.

*Notice to Ontario Applicants – Momentum Financial Services Group is committed to accommodating applicants with disabilities up to the point of undue hardship during the recruitment, assessment, and selection process. If you are selected for an interview, please notify Momentum Financial Services Group if you require accommodation in respect of the materials or procedures used at any time during this process. If you require accommodation, we will work with you to determine how to meet your needs.

Note to Internal Applicants: All internal applicants are required to notify current manager regarding interest in applying for this role.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Avro Azure Big Data Business Intelligence Computer Science Data analysis Databricks Data management Engineering Java JSON Lambda NoSQL NumPy Pandas Parquet Power BI Python Qlik Snowflake Spark SQL Tableau XML

Region: North America
Country: Canada

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