Data Engineer, Card Products

Momentum Financial Services Group; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading financial services group in Ontario is seeking a skilled Data Engineer to enhance their card products. You will design and develop data engineering frameworks, ensuring data accuracy and accessibility. Ideal candidates will have a strong background in data analytics, cloud technologies, and programming. Join a dynamic team committed to innovation and customer satisfaction.

Qualifications

• 3+ years of experience in Data Engineering / Analytics.
• Expertise in building data lakes over Cloud / Azure.
• Strong experience with SQL and programming languages like Python.

Responsibilities

• Lead reporting data structure design and oversee projects.
• Support enhancement of data lake platforms with new data sources.
• Develop scalable Big Data platforms to analyze massive datasets.

Skills

Data Analysis

Big Data Technologies

Problem-solving

Communication

Education

Bachelor’s degree in Computer Science, Data Engineering

Tools

SQL

Python

Azure

Databricks

Job description

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 Groupis 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 notifyMomentum 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 youto 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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