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Data Engineer

Posted by: Annex It Solutions
Posting date: September 29, 2025      Expire in 14 days
Posting date: September 29, 2025
Expire in 14 days
 
Job location: Toronto - ON, Canada
 
Vacancy: 50
 
Job category: Engineering
 
Job id: 20250929-182025

Job description:


We are seeking a talented Data Engineer to join our team and help transform data into actionable insights. The ideal candidate will design, build, and maintain efficient and scalable data pipelines, enabling analytics and business intelligence. You will work closely with data scientists, analysts, and stakeholders to ensure data accuracy, availability, and quality.

Requirements:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field (Master’s preferred).

  • Proven experience as a Data Engineer or in a similar role.

  • Strong proficiency in SQL and database management systems (MySQL, PostgreSQL, etc.).

  • Experience with ETL tools (Apache Airflow, Talend, Informatica, etc.).

  • Familiarity with big data technologies such as Hadoop, Spark, Kafka.

  • Knowledge of cloud platforms (AWS, Azure, GCP).

  • Proficiency in programming languages: Python, Java, Scala, or similar.

  • Strong understanding of data modeling, warehousing, and pipeline architecture.                                                                                                                                                                                                                     

    Skills:

    • Ability to design, build, and maintain scalable data pipelines.

    • Expertise in integrating structured and unstructured data from various sources.

    • Knowledge of data storage solutions (data lakes, data warehouses).

    • Familiarity with API integration and data streaming tools.

    • Strong problem-solving skills with attention to detail.

    • Excellent communication and collaboration skills.

    • Knowledge of data governance, security, and compliance standards.

    • Ability to work independently and in a team environment.

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