data engineer Toronto

Element Fleet Management

Full Time Toronto 127850 - 78000 CAD ANNUAL Today

Job description

Get started on an exciting career at Element!

Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first, then business – delivering on our promise of a superior client experience. This takes hard work and innovation, and we need more like-minded people on our team.

What We Need

We are looking for a Data Engineer to join Element Fleet Management. As the largest pure-play fleet manager in the world, we provide unmatched products and services and solutions to our clients.

At Element, employees play a critical role in delivering value to customers and ensuring an exceptional client experience. We are committed to the success of our clients, employees, and investors by fostering a culture where every employee can make a difference!

Are You:

Experiences data engineer skilled in designing scalable data architecture, analyzing complex data sets, and developing robust ETL Pipelines
Proactive problem solver with a strong understanding of data modelling of database management, capable of ensuring data quality and integrity across multiple systems and platforms.

Element is looking for a Data Engineer to join our team of data & analytics experts. They will be responsible for collecting, storing, processing, and converting raw data at scale into usable object information for analysts and data scientists, as well as optimizing data flow for cross-functional teams’ requirements. The ideal candidate is an experienced data pipeline builder who is familiar with different data sources to build the data pipeline. The candidate enjoys optimizing and analyzing data systems and building them from the ground up.

The data engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

A Day in the Life

Design, develop, implement, and run cross-domain, modular, optimized, flexible, scalable, secure, reliable, and quality data solutions (Data Pipeline, Data model, BI Reports and Dashboards) that transform data for meaningful analyses and analytics while ensuring operability.
Work closely with subject matter experts, business analysts, data architects, other developers, and
Participates in vendor/strategic partner evaluations and monitors the relationship on an ongoing basis.
stakeholders to gather requirements and design data integration solutions.
Develop and maintain Python scripts for data manipulation and processing.

Embrace continuous learning of engineering practices to ensure industry best practices and technology adoption, including Python, Cloud (AWS), Snowflake, DevOps and Agile thinking.
Participate in code reviews and ensure adherence to coding standards and best practices.
troubleshoot and resolve issues with data integration processes.
Create and maintain high-quality technical documentation of data definitions, transformation, and processes to ensure data governance and security.

Requirements

Bachelor’s degree: Computer Science, MIS or Mathematics are preferred majors.
Experience working in IT preferably within a financial services company, a with minimum of 3 years of IT experience primarily in data.
At least 3 years of experience with Python Development and data manipulation libraries (e.g., Pandas, NumPy, SciPy)
Experience working in virtualized cloud environments including cloud-based IaaS/SaaS/PaaS solutions. (AWS Preferred).
1+ years of experience with CI/CD tools such as Jenkins, GitHub, etc.
Experience with web service technologies (REST, SOAP, etc.) for application integration.
Knowledge of data cleaning, wrangling, visualization, and reporting.
Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources.
Exposure to databases, BI applications, data quality and performance tuning.
Expertise in high-volume streaming data platforms
Understanding of ETL methodologies and Data Warehousing principles, approaches, technologies, and architectures including the concepts, designs, and usage of data warehouses and data marts
Experience in writing complex SQL queries and stored procedures.
Knowledge of data warehousing, OLAP, multi-dimensional, star and Snowflake schemas
Knowledge and experience with database design principles including referential integrity, normalization, and indexing to support application development.

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What’s in it for You

A culture of innovation, empowerment, decision-making, and accountability
Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness
Additional benefits and amenities, including paid time-off programs (vacation, sick leave, and holidays)
Hybrid work environment for most positions

Applicants will be required to undergo a background check only if and after a conditional offer of employment has been extended.

Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, gender identity, age, sex, sexual orientation, disability, national origin, Aboriginal/Native American status, protected veterans’ status or any other legally-protected factors. Disability-related accommodations during the application and interview process are available upon request. Should you require an accommodation with our hiring process please send an email to

[email protected]

or call (800) 665-9744.

About Element Fleet Management

CEO: Laura Dottori-Attanasio
Revenue: $2 to $5 billion (USD)
Size: 1001 to 5000 Employees
Type: Company - Public
Website: https://www.elementfleet.com/
Year Founded: 1946

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