Intermediate Data Developer (Data Engineering)

Plusgrade•Montreal, QC

71d

About The Position

Travel is more than reaching a destinationâitâs about the experiences created along the way. We partner with over 200 airline, hospitality, cruise, passenger rail, and financial services companies to transform everyday travel into extraordinary journeys. Guided by our values of ambition, innovation, and collaboration, we continuously raise the bar and believe we are better together.Join us in shaping the future of travel by unlocking the power of data. About the Role We are looking for an Intermediate Data Engineer to join our growing Data Engineering team. In this role, you will design, build, and maintain scalable data pipelines and platforms that support analytics, reporting, and product innovation. You will collaborate with engineers, analysts, and business stakeholders to ensure data is accurate, accessible, and reliable across the organization.

Requirements

3+ years of experience in data engineering, data development, or data management
Strong hands-on experience with Snowflake and modern data warehouse concepts (data lakes, lakehouse, streaming)
Proficiency in Python and SQL for building and optimizing data pipelines
Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and data platforms such as Snowflake.
Experience with ETL/ELT, data modeling, and data warehousing concepts
Experience with orchestration tools (Airflow, Dagster)
Hands-on experience with PySpark and distributed data processing frameworks (e.g., AWS EMR)
Knowledge of pipeline performance optimization and debugging
Strong problem-solving, analytical, and collaboration skills
Experience with version control (Git) and CI/CD workflows
Bachelorâs degree in Computer Science, Information Systems, Engineering, or related field

Nice To Haves

Exposure to real-time/streaming data (Kafka, Kinesis)
Knowledge of infrastructure as code (Terraform, CloudFormation)
Experience with RESTful API development and integration
Familiarity with BI or visualization tools (Tableau, Looker)
Knowledge of Java or Scala is a plus

Responsibilities

Design, develop, and maintain robust ETL/ELT pipelines to integrate data from multiple sources into a centralized cloud-based data platform
Build scalable data ingestion, transformation, and enrichment processes using Python, SQL, and PySpark
Optimize data workflows for performance, scalability, and cost efficiency in the cloud
Implement data quality and validation checks to ensure trust in reporting, analytics, and data-infused products
Collaborate with cross-functional teams to translate business requirements into technical data solutions
Support large-scale transformations using distributed processing frameworks
Troubleshoot and resolve issues in data pipelines, ensuring reliability and uptime
Participate in code reviews and contribute to engineering standards and best practices
Document data processes, pipelines, and schemas to improve transparency and reusability
Stay current with modern data engineering tools, practices, and cloud technologies with a passion for continual learning and knowledge sharing
Building with stakeholders in mind, not just raw pipelines.