About the role
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.
About Momentum Financial Services Group
For over 40 years, Momentum Financial Services Group has been committed to providing financial solutions that meet the evolving needs of the consumers and business owners in our communities. We rely on our large retail network to provide our customers with diverse financial products such as loans, check cashing, money transfers, and prepaid cards.
We are a financial services company that began with the belief of putting people first. From the moment we first opened our doors to the company we are today – we have always stood by our goal to set the highest standards for customer service, convenience, and quality financial products and services.
As the word momentum implies, we want to help our customers get where they need to be. It starts with a moment – an emergency happens, an opportunity arises – and ends, not with an installment loan, but with a way to get back to work or take that next step towards the future. We believe in our customers, and we're here to provide them with a little momentum to build their positive future.
Since we opened our doors in 1979, our goal has been to empower customers to manage their finances and reach their financial goals. We understand that a loan isn't just a loan – it's momentum to achieve a positive future.
We believe in giving back to the communities where we live and work. We proudly contribute over $250,000 annually to charities and non-profit organizations, along with using our time and talent to serve in our local communities throughout Canada and the United States.
Momentum Financial Services Group is a team of more than 2,000 people serving customers throughout Canada and the United States. Our employees' personal and professional goals are important to us. As a result, we offer training programs, competitive benefits packages, personal incentives, and other exciting perks. Visit our corporate website, www.mfsg.com, to learn more about our company and products.
About the role
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.
About Momentum Financial Services Group
For over 40 years, Momentum Financial Services Group has been committed to providing financial solutions that meet the evolving needs of the consumers and business owners in our communities. We rely on our large retail network to provide our customers with diverse financial products such as loans, check cashing, money transfers, and prepaid cards.
We are a financial services company that began with the belief of putting people first. From the moment we first opened our doors to the company we are today – we have always stood by our goal to set the highest standards for customer service, convenience, and quality financial products and services.
As the word momentum implies, we want to help our customers get where they need to be. It starts with a moment – an emergency happens, an opportunity arises – and ends, not with an installment loan, but with a way to get back to work or take that next step towards the future. We believe in our customers, and we're here to provide them with a little momentum to build their positive future.
Since we opened our doors in 1979, our goal has been to empower customers to manage their finances and reach their financial goals. We understand that a loan isn't just a loan – it's momentum to achieve a positive future.
We believe in giving back to the communities where we live and work. We proudly contribute over $250,000 annually to charities and non-profit organizations, along with using our time and talent to serve in our local communities throughout Canada and the United States.
Momentum Financial Services Group is a team of more than 2,000 people serving customers throughout Canada and the United States. Our employees' personal and professional goals are important to us. As a result, we offer training programs, competitive benefits packages, personal incentives, and other exciting perks. Visit our corporate website, www.mfsg.com, to learn more about our company and products.