Data Engineer
4 weeks ago
We are seeking a highly skilled Data Engineer to join our team at goeasy Ltd. As a Data Engineer, you will play a critical role in designing, developing, and maintaining our data architecture on the Azure platform.
Key Responsibilities:- 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.
- 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 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.
- A Flexible Work Program that provides you the ability to work three days onsite per week, between our Mississauga and downtown Toronto office.
- Employee discounts on furniture, electronics, and appliances.
- 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.
- 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
We are an equal opportunity employer and are committed to providing accommodations for applicants upon request at any stage of the recruitment process in accordance with all legislative requirements throughout Canada.
All candidates considered for hire must successfully pass a criminal background check, credit check, and validation of their work experience to qualify for hire.
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Data Engineer, Finance
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