Sr. Data Engineer

TRADER Corporation is a trusted Canadian leader in online media, dealer and lender services. The company is comprised of AutoTrader.ca, AutoSync and Dealertrack Canada. AutoTrader.ca (AutoHebdo.net in Quebec) offers the largest inventory of new cars and used cars in Canada, receiving over 25 million monthly visits to its marketplace. With over 3,500 subscribers and counting, AutoSync is the largest and fastest growing dealer and OEM software provider in Canada. The platform's suite of connected automotive software solutions brings advertising, conversion and operational support together, synchronizing the entire retail process. AutoSync's diverse range of offerings includes: vAuto, EasyDeal, xtime, Motoinsight, Activix, TAdvantage and TRFFK. Dealertrack is Canada’s largest automotive financing portal, enhancing efficiency and profitability for all major segments of the automotive, marine, recreational vehicle, motorcycle and powersport retail industries. Over 6.5 million credit applications are submitted via the Dealertrack Canada portal each year. Collateral Management is a national, end-to-end, managed technology solution that offers industry insight and multi-channel collection strategies to maximize funds recovered. Collateral Management helps you remain compliant in all jurisdictions, alleviating your exposure to reputational and financial risks. Visit tradercorporation.com to learn more..

Sr. Data Engineer is centered around our core data systems – Data Warehouse / Data Lake / BI. This position will be responsible for the coding / review / acceptance of Data Movement / Data Integration code to be promoted into production. The Data Engineering candidate will be involved in projects from inception through design and development and into postproduction support, to ensure that items developed are of high quality and will not damage production. The Data Engineering candidate will utilize the full suite of integration tools and technologies and practices ensuring compliance to configuration management and security best practices across the organization. The Data Engineering role is a combined role covering design, development and operations responsibilities.

Responsibilities

· Develops and maintains scalable data pipelines and builds out new integrations to support continuing increases in data volume and complexity.

· Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.

· Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

· Writes unit/integration tests, contributes to engineering wiki, and documents work.

· Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

· Works closely with a team of frontend and backend engineers, product managers, and analysts.

· Defines company data assets (data models), documentation, transformation jobs to populate data models.

· Designs data integrations and data quality framework.

· Designs and evaluates open source and vendor tools for data lineage.

· Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

Qualifications

· University Degree or College Equivalent 

· 10+ years IT experience in large scale technology architecture, operations and design related disciplines 

· 3+ years developing and supporting applications leveraging the Cloud technology stack (AWS, Azure, GCP)

· 3+ of experience with data integration/ETL tools such as Databricks, DataStage or alternatives

· SDLC knowledge in both waterfall and agile methodologies

· Hands-on experience with source code management system (SVN, Git) and continuous integration tools (Jenkins, Azure DevOps)

· Experience on following tools: SQL, Scala, Python, Spark, Kafka, and other related languages

· Experience on handling data processing, delivering distributed and highly scalable application

· Experience with building solutions in Cloud based environment (Azure, GCP experience preferred)

· Experience with large scale domain or enterprise solution analysis development, selection and implementation 

· Experience with high-volume, transaction processing software applications

· Good understanding of workload management, schedulers, scalability and distributed platform architectures

· Experience in software development and architecture experience using Java EE technologies (Application Server, Enterprise Service Bus, SOA, Messaging, Data Access Layers)

· Experience in scripting languages & automation such as bash, PERL, and Python

· Experience in data warehousing, analytics, and business intelligence/visualization/presentation

· Experience using SQL against relational databases

· 5+ years of hands-on experience on Linux, AIX, and z/OS

Knowledge, Skill and Ability Requirements

1. Excellent communication skills (both written and oral) combined with strong interpersonal skills 

2. Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem-solving environment

3. Attention to detail 

4. Strong organizational & multi-tasking skills

#INDHP

What’s in it for you…

-We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best.

Fitness and wellness

-We provide discounts to nation-wide gyms, onsite gyms (when we’re in the office), an Employee and Family Assistance Program, as well as a virtual wellness program.

Benefits from Day 1

-Gym discounts

-Local in-office free gyms

-Employee and Family Assistance program

-Weekly virtual wellness events

-Conferences & training budget

-Regular internal training programs

Financial planning

-Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection.

Competitive salary

-Annual bonus structure

-3% CPP matching