Data Engineer
Keyrus
AirflowAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformJavaKafkaMySQLPostgres+4 more
Data Engineer
ELEKS
full-time
Posted on:
Location Type: Office
Location: Montreal • 🇨🇦 Canada
Visit company websiteSalary
💰 CA$98,000 - CA$140,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AirflowAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformPythonScalaSparkSQL
About the role
- Design, implement, and maintain scalable ETL/ELT data pipelines for structured and unstructured data
- Develop and optimize data models and schemas for analytics and reporting
- Collaborate with cross-functional teams to integrate data from multiple sources (internal systems, APIs, cloud platforms)
- Ensure data quality, security, and governance by implementing validation, monitoring, and access controls
- Support cloud-based data warehouses/lakes (e.g., Snowflake, Databricks, BigQuery, Redshift, Azure Synapse)
- Automate workflows and build monitoring solutions for pipeline health and performance
- Partner with data scientists to enable advanced analytics and machine learning use cases
Requirements
- 3+ years of experience in data engineering/software engineering
- Strong skills in SQL + Python/Scala
- Hands-on experience with ETL frameworks (Airflow, dbt, Spark)
- Cloud expertise (AWS, Azure, or GCP)
Benefits
- Close cooperation with a customer
- Challenging tasks
- Competence development
- Ability to influence project technologies
- Team of professionals
- Dynamic environment with low level of bureaucracy
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLELTdata pipelinesdata modelsSQLPythonScalaETL frameworksAirflowdbt
Soft skills
collaborationcommunicationproblem-solvingattention to detail
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