Senior Data Engineer

Posted last week

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About the role

  • Senior Data Engineer at Laivly, designing and optimizing data systems for reporting and analytics. Collaborating with data science teams to drive data-driven decision making.

Responsibilities

  • Build cloud-based data ingestion pipelines from multiple sources
  • Develop scalable ETL processes and data integration workflows
  • Create APIs and endpoints that integrate data across internal and external systems
  • Structure and optimize datasets to support reporting, analytics, and development lifecycle
  • Document data models, sources, and ingestion techniques
  • Ensure system design facilitates good data hygiene, reliability, and observability across all systems and pipelines
  • Mentor and develop peers and team members
  • Experiment with new tools, technologies, and approaches to improve the data ecosystem

Requirements

  • 8-10+ years of experience working with data in SQL environments
  • A degree in Computer Science, Mathematics, Statistics, or a related field
  • Strong experience with SQL, ETL development, and data integration
  • Experience with relational and non-relational databases
  • Experience working within a data lake warehouse environment
  • Python proficiency (Spark/Flink experience is a plus)
  • Experience with C# development (JavaScript experience is a bonus)
  • Experience working with cloud-based systems and distributed data platforms
  • Familiarity with Agile methodologies, CI/CD pipelines, and process automation
  • Experience with Trino, Iceberg, Kafka, Airflow, Polaris (considered a bonus)

Benefits

  • Flexible work arrangements
  • Professional development opportunities

Job title

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AirflowCloudETLJavaScriptKafkaPythonSparkSQL

Location requirements

RemoteCanada

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