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Data Engineer
Data EngineerAIT Global inc. • Mississauga, ON, Canada
Data Engineer

Data Engineer

AIT Global inc. • Mississauga, ON, Canada
Il y a 3 jours
Type de contrat
  • Temps plein
  • Quick Apply
Description de poste

Job Title : Data Engineer (Python pyspark SQL Snowflake Data Factory Data Lakes OpenShift)

Location : Mississauga, ON

Job Summary :

We are seeking an experienced Data Engineer to design, develop, and maintain scalable data solutions. The ideal candidate will have a strong background in Python, PySpark, SQL, Snowflake, Data Factory, Data Lakes, and OpenShift, with a passion for building reliable data pipelines and enabling data-driven decision-making.

Key Responsibilities :

  • Develop, construct, test, and maintain scalable data pipelines and ETL / ELT workflows using Python, PySpark, and SQL.
  • Manage and optimize data storage solutions in Snowflake and on Data Lakes.
  • Integrate data from multiple sources and ensure data quality, integrity, and security.
  • Design and implement automated workflows using Azure Data Factory or other orchestration tools.
  • Deploy and manage containerized applications and services on OpenShift.
  • Collaborate with Data Scientists, Analysts, and Stakeholders to understand data requirements.
  • Monitor and troubleshoot data pipelines and resolve performance bottlenecks.
  • Maintain documentation of data architecture, workflows, and best practices.
  • Ensure compliance with data governance and security policies.

Qualifications & Skills :

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
  • Proven experience as a Data Engineer or in similar roles.
  • Strong proficiency in Python, with frameworks like PySpark.
  • Expertise in SQL and experience with Snowflake Data Warehouse.
  • Hands-on experience with data orchestration using Azure Data Factory or similar tools.
  • Knowledge of Data Lakes architecture and management.
  • Experience deploying and managing containerized applications on OpenShift or Kubernetes.
  • Familiarity with cloud platforms (Azure, AWS, GCP).
  • Understanding of data security, governance, and compliance best practices.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.
  • Preferred Skills :

  • Experience with other big data tools (e.g., Kafka, Hadoop).
  • Knowledge of CI / CD pipelines and DevOps practices.
  • Familiarity with other cloud data services and tools.
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