Data Architect I

4 weeks ago

Mississauga, Ontario, Canada goeasy Full time

Azure Data Engineering Opportunity

At goeasy, we are seeking an experienced Data Architect to design, develop, and maintain our data architecture on the Azure platform. This is a unique opportunity to leverage your technical expertise and contribute to the successful implementation of data solutions.

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.

Requirements:

  • 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.

What we offer:

At goeasy, we provide a dynamic and inclusive work environment that fosters growth and development. We offer a range of benefits, including a flexible work program, employee discounts, and access to the latest technology and tools. We are committed to diversity, equity, and inclusion and encourage applications from underrepresented groups.

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