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Senior Data Engineer

2 months ago


Old Toronto, Ontario, Canada ProViso Staffing Full time
Job Description

**Job Title:** Senior Data Engineer

**Job Summary:** We are seeking a highly skilled Senior Data Engineer to join our team at ProViso Staffing. The successful candidate will be responsible for designing, developing, and maintaining large-scale data processing systems.

Key Responsibilities:
  • Design and develop data processing systems using Scala, Spark, and Akka framework.
  • Develop and maintain big data technologies such as Hadoop, Kafka, Hive, and HBase.
  • Lead and direct the work of junior developers and provide coaching and mentoring.
  • Collaborate with cross-functional teams to ensure consistency in coding standards and approaches.
  • Develop and maintain detailed design specifications, create and review code, and assess the impact on other applications.
  • Provide technical support to business and testing teams during testing phases.
  • Track defects, defect triage, and resolution.
  • Ensure required documentation is housed in the project repository and that knowledge transfer has occurred to full-time staff upon completion of the contract term.
Requirements:
  • Minimum 5 years of experience in data engineering with a focus on big data technologies.
  • Hands-on experience with Scala, Spark, and Akka framework.
  • Experience with Hadoop, Kafka, Hive, and HBase.
  • Proficient in Java and SQL.
  • Strong understanding of data communication protocols like REST and GRPC.
  • Understanding of data warehousing concepts and ETL processes.
  • Experience with relational and NoSQL databases.
Preferred Qualifications:
  • Knowledge of Capital Markets.
  • Proficiency with C# for Excel add-ins.
  • Experience with cloud data platforms like Azure ADLS, Google BigQuery, and Databricks, Dremio or equivalent.
  • Proficient in Python.
  • Experience with CI/CD pipelines and infrastructure as code (IaaC).
  • Familiarity with machine learning and data science workflows.
  • Experience with real-time analytics and event-driven architectures.