Recherche d'emploi > Mississauga, ON > Data engineer

Data Engineer (Azure)

goeasy
Mississauga, Ontario, Canada
Temps plein

Embark on a journey with one of Canada's fastest growing companies welcome to goeasy! We have been honored with recognitions such as Waterstone Canada’s Most Admired Corporate Cultures , the 2022 Report on Business Women Lead Here , Report on Business for Canada’s Top Growing Companies and TSX30 as one of the best performing companies on the TSX .

We've also received the Greater Toronto Top Employers Award and certified as a Great Place to Work® . We're on the lookout for the best and brightest to join our team!

Our vision is to provide everyday Canadians a path to a better tomorrow, today. As one of Canada’s leading non-prime consumer lenders, we offer a full suite of products including non-prime leasing, unsecured and secured loans as well as point-of-sale-financing though easyhome, easyfinancial, and LendCare.

As our new Data Engineer , you will play a role in designing, developing, and maintaining our data architecture on the Azure platform.

You can expect to collaborate with cross-functional teams, leverage your technical proficiency, and contribute to the successful implementation of data solutions.

What will you be doing?

  • Design and implement scalable, reliable, and high-performance data architectures on the Azure Cloud platform.
  • Collaborate with data architects and other stakeholders to define data requirements and architecture standards.
  • Develop end-to-end data pipelines, ensuring efficient and reliable data movement across various stages, from ingestion to consumption.
  • Utilize Azure Data Factory, Azure Databricks, and other relevant services to orchestrate and optimize data workflows.
  • Design and implement data models that support business requirements and enable efficient querying and analysis.
  • Optimize data storage and retrieval processes for performance and cost-effectiveness.
  • Integrate diverse data sources into a unified data platform, ensuring data consistency, accuracy, and reliability.
  • Implement data integration patterns using Azure services such as Azure Data Factory, Azure Logic Apps, and Azure Functions.
  • Ensure compliance with data governance and privacy regulations.
  • Monitor data pipeline performance and proactively identify and resolve bottlenecks or issues.
  • Implement performance tuning strategies to optimize data processing and reduce latency.
  • Document data engineering processes, data flows, and system architecture for knowledge sharing and future reference.

What experience do you have?

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Proven experience (3+ years) as a Data Engineer, with a focus on Azure Cloud technologies.
  • In-depth knowledge of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage.
  • 3-5+ years experience working with large volumes of data (structured and unstructured).
  • Strong proficiency in programming languages such as Python, SQL, and familiarity with tools like Spark.
  • Hands on experience on designing, developing, and implementing Enterprise Data Warehousing, ETL and real-time / batch data exchanges and working with related technologies such as SSIS, Azure Data Factory, Synapse Spark, Azure DevOps, Databricks.
  • Strong SQL skills, knowledge of RDBMS and Data Lake concepts.
  • Strong knowledge of data warehousing architecture, data mining methodologies and business intelligence.
  • Knowledge of AI and ML developments / solutions / implementations is a plus.
  • Knowledge of data security, compliance, and governance best practices.

We offer a Flexible Work Program that provides you the ability to work three days onsite per week , between our Mississauga and downtown Toronto office.

Internal Applicants : please apply through the link and provide written endorsement from your current manager.

Why should you work for goeasy?

In keeping with our mission to create better tomorrows for our employees, each year goeasy commits to continuously enhancing its total rewards.

Here are some of the perks we offer

Financial Benefits :

  • Leverage our RRSP match and Employee Share Purchase Plan programs.
  • Annual bonus that rewards your hard work and dedication.
  • Employee discounts on furniture, electronics, and appliances.
  • MAT & PAT leave top-up.
  • Expand your financial knowledge through engaging Financial Literacy Learning opportunities.

Health and Lifestyle :

  • Enjoy company-paid volunteer days to give back to the community.
  • Access 24 / 7 healthcare with Virtual Doctor Appointments.
  • Personalize your benefits with a flexible modular benefits package.
  • Stay fit and energized with exclusive access to our on-site private gym at our head office.

Employee Perks :

  • Fuel your growth with the Tuition Assistance Program.
  • Double the impact of your generosity with Company Matched Charitable Donations.
  • Internal development training programs and platforms including job-specific training, career coaching, leadership excellence, mentorship, and many others.
  • Enjoy a state-of-the-art office space with perks like a games room, a healthy snack program, a fitness studio, free gated parking, and more!

Diversity, Inclusion, and Equal Opportunity Employment :

At goeasy, we believe that we can only be the best when people are able to bring their best selves to work every day. This means that we are committed to cultivating and preserving a work culture where we celebrate who we are, where everyone feels seen and heard and where every employee can fulfill their potential.

As an equal opportunity employer, we are committed to providing accommodations for applicants upon request at any stage of the recruitment process in accordance with all legislative requirements throughout Canada.

Please let us know if you require an accommodation during any aspect of the recruitment process and we will work with you to address your needs.

Additional Information :

All candidates considered for hire must successfully pass a criminal background check, credit check, and validation of their work experience to qualify for hire.

We thank all interested applicants, however we will only be contacting those for interview who possess the skills and qualifications outlined above.

LI-AM1

Il y a 11 jours
Emplois reliés
E-Solutions
Toronto, Ontario

Azure Data Factory , Azure Data bricks Spark (PySpark or scala), SQL. Azure Data Engineer (minimum years exp) NO junior profile. Any other certificate in Azure/AWS/GCP and data engineering hands-on experience in cloud. Experience in Azure ingestion from on-prem source, mainframe, SQL server, Oracle....

Astra North Infoteck Inc.
Toronto, Ontario

Experience working with Microsoft Azure Data Platform, specifically Azure SQL Database, Azure Data Factory, ADLS storage account, Azure Data Bricks and DevOps Experienced in creating data pipelines & developing complex and optimized queries. Experience working as Data Engineer with focus on big ...

S.i. Systems
Toronto, Ontario

Assist in designing, developing, and optimizing data pipelines, architectures, and data sets, ensuring efficient data ingestion, transformation, and reliable delivery using Microsoft Azure and Informatica/IICS to support data mesh architecture. Azure Platform Engineer with Databricks, Data Factory &...

goeasy Ltd.
Mississauga, Ontario

In-depth knowledge of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage. Implement data integration patterns using Azure services such as Azure Data Factory, Azure Logic Apps, and Azure Functions. Hands on experience on designing, developing, and...

Astra North Infoteck Inc.
Toronto, Ontario

Experience working with Microsoft Azure Data Platform, specifically Azure SQL Database, Azure Data Factory, ADLS storage account, Azure Data Bricks and DevOps Experienced in creating data pipelines & developing complex and optimized queries. Experience working as Data Engineer with focus on big ...

hays-gcj-v4-pd-online
Toronto, Ontario

Minimum of 3 years of experience with Azure data services, including Azure Data Factory, Azure Data Lake, and Databricks. Design, develop, and maintain data pipelines using Azure Data Factory, incorporating XML and JSON data formats for data exchange and transformation. Implement and manage data sto...

KPMG
Canada, Canada

Hands on experience with data processing and analytics using Azure Data Factory, Azure Synapse, Azure Data Lake or Azure Databricks is a plus. Contribute to the design and development of enterprise-level data solutions, including data warehouses, data lakes, and real-time analytics platforms, using ...

ITL Canada
Toronto, Ontario

At least 4 years of experience in designing, implementing, and maintaining robust and scalable data pipelines on Azure using services such as Azure Data Factory, Azure SQL Data Warehouse, Azure Analysis Services or any of the Azure Databricks/Synapse/Fabric. Ability to implement and manage CI/CD pip...

goeasy
Mississauga, Ontario

In-depth knowledge of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage. Implement data integration patterns using Azure services such as Azure Data Factory, Azure Logic Apps, and Azure Functions. Hands on experience on designing, developing, and...

Astra North Infoteck Inc.
Toronto, Ontario

Experience working with Microsoft Azure Data Platform, specifically Azure SQL Database, Azure Data Factory, ADLS storage account, Azure Data Bricks and DevOps Experienced in creating data pipelines & developing complex and optimized queries. Experience working as Data Engineer with focus on big ...