Build, develop, and maintain end-to-end data pipelines (ETL/ELT) on Google Cloud Platform
Implement data ingestion, processing, storage, and analytics using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Composer
Implement modern data lakehouse and data warehouse architectures aligned with analytics and AI use cases
Ensure data quality, validation, and adherence to data governance and security standards
Develop infrastructure as code using Terraform or equivalent tools
Collaborate with architects and platform teams on CI/CD, DataOps, and monitoring strategies
Apply GCP security best practices, including IAM, networking, encryption, and compliance controls
Partner with business and technology stakeholders to translate technical designs into functional, efficient code
Act as a technical developer on cloud data modernization and GCP best practices
Support solution implementation, including testing, debugging, and production support.

Requirements

5+ years of overall IT experience with 3+ years specifically in cloud data engineering
Proven experience building and deploying GCP-based data pipelines
Background with large enterprise data programs across industries
Deep expertise in Google Cloud Platform, including BigQuery, Cloud Storage, Dataflow (Apache Beam), Pub/Sub, Dataproc (Spark), and Composer (Airflow)
Strong knowledge of data modeling, ETL/ELT, streaming architectures, and SQL
Experience with CI/CD, Terraform, and DataOps practices
Exposure to AI/ML enablement on GCP (Vertex AI is a plus)
Google Professional Data Engineer Certification
Strong communication and stakeholder management abilities
Ability to explain technical concepts to technical and non-technical audiences
Experience working in global, distributed teams
Passion for innovation, engineering excellence.

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipelinesETLELTdata modelingSQLstreaming architecturesinfrastructure as codedata governancedata qualitycloud data modernization

Soft Skills

communicationstakeholder managementcollaborationtechnical explanationinnovationengineering excellence

Certifications

Google Professional Data Engineer Certification