Senior Data Engineer

2 months ago

Old Toronto, Ontario, Canada Cpus Engineering Staffing Solutions Inc. Full time
Job Overview

Cpus Engineering Staffing Solutions Inc. is seeking a highly skilled Data Engineer to join our team and contribute to the design, development, and maintenance of our cloud-based data infrastructure.

Key Responsibilities:

  • Design and Build Cloud Data Pipelines: Develop modular and scalable data pipelines using a wide range of data sources across the organization.
  • Implement Data Models: Curate common data models that offer an integrated, business-centric single source of truth for business intelligence, analytics, artificial intelligence, and other downstream system use.
  • Identify and Implement Process Improvements: Automate manual processes, optimize data delivery, and redesign infrastructure for greater scalability.
  • Work with Microsoft Stack Tools: Utilize Azure Data Factory, Azure Data Lake, Azure SQL Databases, Azure Data Warehouse, Azure Synapse Analytics Services, Azure Databricks, Microsoft Purview, and Power BI.
  • Agile Work Management: Contribute to feature and user story backlog item development within an agile work management framework.
  • Develop Optimized Data Pipelines: Use technologies such as Python, Spark, and SQL to develop optimized, performant data pipelines and models at scale.
  • Orchestrate Data Pipeline Execution: Ensure data products meet customer latency expectations, dependencies are managed, and datasets are up to date with minimal disruption.
  • Create Tooling and Automation: Develop tooling to help with day-to-day tasks and reduce toil via automation wherever possible.
  • Monitor and Troubleshoot: Monitor the ongoing operation of in-production solutions, assist in troubleshooting issues, and provide Tier 2 support for datasets produced by the team.
  • Testing and Quality Assurance: Write and perform automated unit and regression testing for data product builds, assist with user acceptance testing and system integration testing as required.
  • Code Review: Participate in code review as both a submitter and reviewer.
Qualifications

Candidates must possess:

  • A degree in Computer Science, Computer/Software Engineering, or a relevant program within data engineering, data analysis, artificial intelligence, or machine learning.
  • Over 4 years and up to 6 years of experience in data modeling, data warehouse design, and data solution architecture in a Big Data environment.
  • Experience as a Data Engineer in a Big Data environment.
  • Knowledge of integrating structured and unstructured data across various platforms and sources.
  • Experience with implementing event-driven, near-real-time, or streaming data solutions.
  • Strong knowledge of programming methodologies and agile development methodologies.
  • Fluency with SQL, Python, and Spark/PySpark.
  • Experience with Airflow and DBT.

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