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Money Mart Financial Services

Data Engineer, Card Products

Posted 11 Days Ago
Be an Early Applicant
Toronto, ON
Mid level
Toronto, ON
Mid level
Develop and enhance Momentum’s data engineering framework, leading projects on data lake platforms, reporting structure design, and long-term data architecture goals. Analyze and adopt new Big Data technologies for improved data management and analytics, with a focus on cloud-based solutions.
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Company 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.

#Corporate

Job Description

DUTIES/RESPONSIBILITIES

  • Be a key part of Momentum’s Data strategy by developing the next-gen Dynamic Data Engineering framework
  • Lead and enhance data lake platform acquiring additional data sources - structured and unstructured
  • Lead the reporting data structure design and oversee the design phases of the projects assuring that design conforms to established architecture design guidelines and standards
  • 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 Analytic technologies and their innovative applications in both business intelligence analysis and new service offerings, adopt and implement these insights and best practices

Qualifications

EDUCATION

  • BS in computer science, or related scientific field
  • Preferred: Master’s degree in computer science, or related technical field

EXPERIENCE

  • 4+ years of relevant experience in Data Engineering / Analytics domain with at least 1 year in Digital Analytics.
  • 4+ year of data analysis, data modeling and data management experience.
  • Experience with building a data lake over Cloud / Azure, ADF, Synapse
  • 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 experience with Apache Spark Data Bricks or Snowflake
  • Exposure to traditional BI Tools (Tableau, Power BI, Qlik, SSRS, etc.)
  • Drive 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, Payday Loans and data domains such as loans, underwriting, collection, promotions, call center data, Fraud, etc.
  • Good to have: Strong knowledge on Big Data technologies such as Data Bricks, Event driven data processing using Function Apps/Lambda.

SKILLS

  • Must have Azure / Synapse / ETL & ADF skills
  • Understanding of Web services (SOAP, XML, UDDI, WSDL)
  • Establish data quality control framework while sourcing data
  • Data analysis using SQL is mandatory.
  • Databricks – Delta Lake, well versed with Python scripting and use of libraries (Numpy, Pandas)
  • SnowFlake experience is preferred
  • Tableau (preferred), Power BI, Qlik
  • Analyze digital data generated and build visualizations.
  • Experience in AI, BI and Data Lake projects.
  • SQL Server / SSIS experience. Exposure to No SQL databases

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.

Top Skills

.Net
Java
Python
SQL

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