Sr. Data Engineer

Money Mart Financial Services; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading financial services company in North America is seeking a Data Engineer to develop a cutting-edge Dynamic Data Engineering framework. This role involves enhancing their data lake platform, overseeing data architecture design, and implementing advanced analytics solutions. Ideal candidates will have extensive experience in data engineering, cloud technologies, and financial instruments, contributing to innovative financial solutions for customers.

Qualifications

• 6+ years of relevant experience in Data Engineering / Analytics.
• Experience with data lake projects and cloud platforms.
• Strong experience in SQL and data analysis.

Responsibilities

• Develop the next-gen Dynamic Data Engineering framework.
• Lead the design and implementation of data architecture standards.
• Ensure the success of enterprise-level application roll-outs.

Skills

Azure

SQL

Data analysis

ETL

Python

Data Bricks

Education

BS in computer science

Master’s degree in computer science

Tools

Databricks

Power BI

Tableau

No SQL databases

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 Groupprovides 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

• 6+ years of relevant experience in Data Engineering / Analytics domain with at least 1 year in Digital Analytics.
• 5+ 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 Synapse Analytics using Spark Clusters
• 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)
• 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.