This is a three months remote job to begin

We are seeking experienced Data Engineers to support the design, development, testing, deployment, and operationalization of analytics-ready data models and associated data pipelines. These engineers will work as an extension of the existing engineering organization and execute work from a jointly prioritized backlog.

Key Responsibilities:

- Design logical and physical data models.
- Develop analytics-ready Tier-2 data models using dimensional modeling and star-schema principles where appropriate.
- Define facts, dimensions, relationships, measures, and transformations.
- Develop ingestion, transformation, and orchestration pipelines.
- Implement batch and streaming data-processing workflows.
- Support data replication and historical backfills.
- Develop data-quality controls and validation logic.
- Perform unit, integration, regression, and data-quality testing.
- Reconcile source and target datasets.
- Prepare production-ready code, configuration, and models.
- Participate in code reviews and approved release processes.
- Support production deployment and post-deployment validation.
- Troubleshoot defects and perform root-cause analysis.
- Create technical documentation, release notes, and operational materials.
- Participate in daily stand-ups, design reviews, demonstrations,



and knowledge-transfer activities.

Required Qualifications:

- Five or more years of qualified data engineering or distributed-systems experience.
- Strong production experience with batch and streaming data architectures.
- Experience building and maintaining production data pipelines.
- Experience with dimensional data modeling and star-schema design.
- Strong programming skills using Python, Java, and SQL.
- Experience with data quality, automated testing, and production troubleshooting.
- Experience with source control, CI/CD, code reviews, and agile engineering practices.
- Ability to work effectively within a distributed global engineering team.

Required Technologies:

- Apache Iceberg, Apache Airflow, Apache Spark, Apache Kafka, Apache Flink, Snowflake, Java and Python, Amazon Web Services, SQL and data modeling

Expected Deliverables

- Completed source code, configurations, and data models.
- Technical and operational documentation.
- Approved pull requests.
- Testing and validation evidence.
- Engineering demonstrations or technical walkthroughs.
- Release notes and change summaries.
- Production deployment artifacts.
- Post-release validation.
- Knowledge transfer and documented handoff of remaining work.

📌 Senior Data Engineer (Canada)
🏢 Applicantz
📍 Canada