ES
SR GCP DATA ENGINEER / GOOGLE CLOUD
Epsilon Solutions LTD
Location not stated
Senior
3 months ago
- GCP
- SQL
- Python
- Java
- Dataflow
- Microservices
- Pub/Sub
- Cloud Functions
- REST API
- Looker Studio
- Tableau
- Agile
- Scrum
- Devops
- IAM
3 months ago
Location: Vancouver / Hybrid
Employment Type: Full-time
- 6–8 years of experience designing, building, and maintaining scalable data and API-driven applications, with a strong focus on cloud-native architectures.
- Proven expertise working within enterprise data warehouse and analytics ecosystems , analyzing and modeling complex cross-object and cross-domain data relationships .
- Demonstrated success as a hands-on individual contributor , owning end-to-end delivery across 2–3+ full software engagements—from requirements and architecture to deployment and production support.
- Strong proficiency in SQL, Python, and Java for data transformation, pipeline orchestration, backend services, and automation.
- Advanced experience using Java for Dataflow (Apache Beam) pipelines, API development, and microservices , with a solid grasp of object-oriented design, performance tuning, and error handling.
- Deep hands-on knowledge of Google Cloud Platform data services , including:
- Big Query for large-scale analytics and optimized query performance
- Pub/Sub for event-driven and streaming architectures
- Cloud Storage (GCS) for durable, cost-effective data storage
- Cloud Functions for lightweight, event-based processing
- Dataflow (Apache Beam) for batch and streaming data pipelines
- Experience designing and operating batch, streaming, and near–real-time pipelines , ensuring scalability, fault tolerance, schema evolution, and cost efficiency.
- Strong command of data quality and reliability engineering , including data validation, reconciliation, monitoring, and exception-handling strategies aligned with production-grade requirements.
- Hands-on experience validating RESTful APIs , covering schema integrity, payload validation, downstream data correctness, and performance SLAs.
- Exposure to validating analytics and visualization layers using Looker Studio and Tableau , ensuring accuracy and consistency between source systems, transformations, and dashboards.
- Working knowledge of graph databases and their applicability for modeling highly connected datasets (nice to have).
- Strong data engineering mindset , with the ability to design, simulate, test, and optimize real-world data scenarios across GCP environments.
- Comfortable working within Agile/Scrum delivery models , collaborating closely with cloud architects, product owners, data scientists, and DevOps/SRE teams.
- Alignment with Google Cloud Data Engineer best practices , including security, IAM, cost optimization, monitoring, and operational excellence.
SR GCP DATA ENGINEER / GOOGLE CLOUD · Epsilon Solutions LTD