Job Application for Data Engineer, IT at Momentum Financial Services Group

GENERAL FUNCTION

As a Data Engineer, you will be responsible for designing, building, and maintaining scalable and reliable data pipelines, ensuring the quality and accessibility of data across the organization. This role will work closely with the engineering team to support our data-driven decision-making processes.

DUTIES/RESPONSIBILITIES

Enhance data platform acquiring additional data sources - structured and unstructured
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 rollouts; connect vendors and providers to select products and services that meet the company's goal
Develop highly scalable and extensible 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 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.
Design, develop, and implement data pipelines using AWS services such as AWS Glue, Lambda, S3, Kinesis, and Redshift to process large-scale data.
Build and maintain robust ETL processes for efficient data extraction, transformation, and loading, ensuring data quality and integrity across systems.
Design and manage data warehousing solutions on AWS, particularly with Redshift, for optimized storage, querying, and analysis of structured, semi-structured data and unstructured data.
Implement and manage scalable data lake solutions using AWS S3, Glue, and related services to support structured, unstructured, and streaming data.
Implement data security best practices on AWS, including access control, encryption, and compliance with data privacy regulations.
Optimize data workflows and storage solutions for cost and performance. Set up monitoring, logging, and alerting for data pipelines and infrastructure health.
Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver data solutions aligned with business goals.
Create and maintain documentation for data infrastructure, data pipelines, and ETL processes to support internal knowledge sharing and compliance.

EDUCATION

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

EXPERIENCE

3+ years of relevant experience in Data Engineering.
3+ years of data analysis, data modeling and data management experience
Experience with building a data Hub over Cloud / AWS
Strong experience with SQL and one other programming language, Python
Hands on Experience parsing NOSQL file systems such as JSON, XML, AVRO, Parquet.
Experience with Redshift, Postgres, SQL Server or Snowflake
Exposure to traditional BI Tools (Tableau, Power BI, Qlik, SSRS, etc.)
Experience building web-services is a plus
Experience with AWS / Redshift/Postgres/ Snowflake / ETL is required
Experience in AI, BI and Data Lake projects.
SQL Server / SSIS experience. Exposure to No SQL databases
Understanding of Web services (SOAP, XML, UDDI, WSDL)
Redshift, well versed with Python scripting and use of libraries (Numpy, Pandas)
Power BI (preferred), Tableau, Qlik

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.
Proven ability to conduct data analysis using SQL
Must Have Python scripting and use of libraries (Numpy, Pandas)
Power BI, Qlik
Understanding of Web services (SOAP, XML, UDDI, WSDL)
Establish data quality control framework while sourcing data
Experience in AI, BI and Data Hub projects.
SQL Server / SSIS experience. Exposure to No SQL databases
Analyze digital data generated and build visualizations.

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Employment and Verification Information:

Money Mart will review all submissions, and interview the most qualified candidates based on their knowledge, skills, abilities, and other competencies.
Candidates who do not meet the requirements, in the recruitment process, for employment will remain classified as applicants and may re-apply for any future job posting and shall receive equal consideration.
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Money Mart is committed to protecting the rights of individuals to privacy with regard to the processing of personal data.
It is necessary for Money Mart to process personal data in the normal and proper conduct of business operations.
Such processing will be conducted fairly and lawfully in accordance with Canada’s Federal Personal Information Protection and Electronic Documents Act including the ten principles set out in the National Canadian Standards Association: Model Code for the Protection of Personal Information.

If there is a query regarding the accuracy of your personal data then your query will be dealt with fairly and impartially.
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Please be informed that your application to this job offer will trigger some processing of your personal data by the recruiting company, the data controller. Greenhouse, the data processor, has no control over such personal data processing. For more information on these personal data processing, please refer to the recruiting company’s privacy policy.

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Momentum Financial Services Group (MFSG) integrates questions about diversity, including race and ethnicity, into its job application process to support its commitment to equity, diversity, and inclusion. These questions are designed to collect demographic information for the purpose of analyzing and improving hiring practices, ensuring they are inclusive and equitable. Applicants have the option to disclose their demographic information. Choosing not to provide this information will not affect their application status.

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Data Engineer, IT

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