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Première détection par notre source: il y a 26 jours

Data Engineer - Vancouver

@ Yeah! Global

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Vancouver, Colombie-Britannique

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SIGNAUX

En bref

Yeah! Global is hiring a Data Engineer in Vancouver to design, build and maintain data pipelines that move data reliably across systems. The role supports data scientists, analysts and stakeholders in data-driven decisions. applicants must be local to Vancouver or ready to relocate.

Responsabilités :

  • Design and maintain scalable data pipelines
  • Build and manage data warehouses and data lakes
  • Implement ETL processes for quality and consistency
  • Optimize database performance and query execution
  • Collaborate with data scientists and analysts

Résumé des exigences :

  • Bachelor's degree in Computer Science, IT or related field
  • Proven experience as a Data Engineer
  • Strong SQL and relational database experience
  • Proficiency in Python, Java or Scala
  • Knowledge of cloud data solutions (AWS, Azure, GCP)

Outils et compétences

SQLPostgreSQLMySQLOracleHadoopSparkKafkaTalendApache NiFiDocker
Source et dates

Type de source non vérifié · manatal

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-10-13
Mise à jour du dossier source
2026-10-13

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

DomaineTI
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (exigé)
Domaines d’étudesComputer Science, Information Technology

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

Yeah! Global

Toutes ses offres
ChampValeur
Offres sur Jobsy32
Description

Note: This position does not offer any Visa sponsorship. We are only looking for applicants who are either local to Vancouver, Canada, or ready to relocate to the employer's location.

Job Summary: Our Client is looking for a skilled Data Engineer to join their team. The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines that ensure efficient and reliable data flow across our systems. You will work closely with data scientists, analysts, and other stakeholders to support data-driven decision-making processes.

Key Responsibilities:

  • Design, develop, and maintain scalable and efficient data pipelines.
  • Integrate, clean, and organize raw data from various sources into structured formats.
  • Develop and maintain data warehouses and data lakes to support analytics and business intelligence needs.
  • Implement and manage ETL (Extract, Transform, Load) processes to ensure data quality and consistency.
  • Optimize database performance and query execution.
  • Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
  • Ensure data security and compliance with relevant data protection regulations.
  • Monitor and troubleshoot data-related issues and provide timely resolutions.
  • Document data engineering processes, architectures, and workflows.

Qualifications:

  • Bachelors degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
  • Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
  • Experience with data integration tools and platforms (e.g., Talend, Apache NiFi).
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Knowledge of cloud-based data solutions (e.g., AWS, Azure, Google Cloud Platform).
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.

Preferred Skills:

  • Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Knowledge of data governance and data privacy regulations.
  • Certification in data engineering or related fields.

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