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Data Engineer

2 months ago

Brampton, Ontario, Canada Charger Logistics Inc Full time
About Charger Logistics Inc

Charger Logistics Inc is a world-class asset-based carrier specializing in delivering assets on time and on budget. With a diverse fleet of equipment, we handle a range of freight, including dedicated loads, specialized hauls, temperature-controlled goods, and HAZMAT cargo.

We invest time and support into our employees to provide them with the room to learn and grow their expertise and work their way up. We are an entrepreneurial-minded organization that welcomes and supports individual ideas and strategies.

About the Role

We are seeking a highly skilled Data Engineer to join our high-powered, globally distributed team (Data Science & BI Engineering) that builds end-to-end data pipelines, develops complex analytical processes, and manages our central data lake for advanced analytics. The team also develops visual analytics with Tableau.

The ideal candidate will work cross-functionally with technical and non-technical teams to take on a variety of tasks, including but not limited to:

  • Understanding business requirements and processes around advanced analytics model execution.
  • Developing end-to-end data pipelines from ingestion to visual analytics with Python, SQL, and Snowflake.
  • Managing, enhancing, maintaining, and supporting our Snowflake-based data lake.
  • Supporting our business intelligence developers to provide stunning visual analytics.
  • Developing, maintaining, and supporting our library of analytical functions written in Python, SQL, and Snowflake.
  • Participating in our fast-paced, agile data iteration to deliver new capabilities in a timely manner.
  • Leveraging key features of Snowflake for processing, entitlements, ingestion, transformation, and data sharing.
  • Collaborating with data scientists, financial data analysts, software engineers, and other data engineers to implement powerful solutions that leverage cloud, big data, NLP, and ML.
  • Building machine learning models with advanced analytics techniques to extend our capabilities and deliver new business value.
  • Capturing and presenting data-driven business insights.
  • Establishing scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation.
  • Working closely with software engineering teams to drive real-time model implementations and new feature creations.
  • Leveraging existing data sources, identifying and mining data from new sources, identifying opportunities for and executing primary data gathering efforts, and providing recommendations on scaling new methods more broadly.
Requirements

To be successful in this role, you will need:

  • A university degree or equivalent in data analytics, statistics, math, or computer science, with a minimum of 3 years relevant experience.
  • Excellent knowledge of Python and SQL.
  • Experience in big data processing and the development of Python and SQL for large amounts of data.
  • Considerable experience with unit and integration testing.
  • Excellent analytical, storytelling, and problem-solving skills.
  • Ability to translate/communicate analytics recommendations to both technical and non-technical team members.
  • Strong understanding of quantitative (univariate and multivariate) analysis techniques.
  • Experience with predictive modeling and machine learning.
  • Strong experience with statistical analytical techniques, data mining, machine learning, and predictive models using Python, R, or similar tools.
  • Experience using scripting language for collecting, organizing, and manipulating data.
  • Ability to work with data with significant ambiguity, develop creative approaches to analytical problems, and interpret data and results from a business/industry perspective.
What We Offer

We offer a competitive salary, a comprehensive healthcare benefits package, and opportunities for career growth and development.