SENIOR DATA ENGINEER-GCP

Job Description:
Job Description – Senior Data Engineer (GCP)Location: Sydney
Role OverviewWe are looking for a highly experienced Senior Data Engineer with strong expertise in Google Cloud Platform(GCP) to design, build, and optimize scalable data pipelines and architecture. The role will focus on enabling data-driven decision-making by delivering high-quality, reliable, and efficient data solutions across the organization.
Key Responsibilities Design and implement scalable and robust data pipelines using GCP services Build and maintain data lakes, data warehouses, and ETL/ELT workflows Work with large-scale structured and unstructured datasets Optimize data processing pipelines for performance, cost, and reliability Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions Develop and enforce data quality, governance, and security standards Automate data workflows and orchestration using tools like Apache Airflow / Cloud Composer Ensure high availability and fault tolerance of data platforms Monitor and troubleshoot data pipelines and production issues
 Mentor junior engineers and contribute to best practices
Must Have Skills & Experience 10+ years of experience in data engineering or related roles Strong hands-on experience with Google Cloud Platform (GCP) services such as:o BigQueryo Dataflowo Pub/Subo Cloud Storageo Dataproco Cloud Composer Expertise in Python, SQL, and distributed data processing frameworks (e.g., Apache Beam, Spark) Experience designing real-time and batch data pipelines Strong understanding of data modeling, data warehousing, and ETL/ELT concepts Experience with CI/CD pipelines and DevOps practices Familiarity with data governance, data security, and compliance frameworks Proven ability to work with large datasets in a cloud environment Strong problem-solving and performance optimization skills
Nice to Have Experience with multi-cloud environments (AWS/Azure) Knowledge of containerization (Docker, Kubernetes) Experience with streaming frameworks (Kafka, Pub/Sub streaming) Exposure to Machine Learning pipelines (Vertex AI) Certifications such as:o Google Professional Data Engineer
 Experience in domain-specific industries (telecom, finance, healthcare, etc.) Familiarity with data cataloging and governance tools
Key Competencies Strong analytical and problem-solving skills Excellent communication and stakeholder management Ability to translate business requirements into technical solutions Leadership and mentoring capabilities Focus on scalability, reliability, and performance