Job Description

Job Description

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Location: Sydney

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Role Overview

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We are looking for a highly experienced Senior Data Engineer with strong expertise in Google Cloud Platform

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(GCP) to design, build, and optimize scalable data pipelines and architecture. The role will focus on enabling data-

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driven decision-making by delivering high-quality, reliable, and efficient data solutions across the organization.

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Key Responsibilities

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- Design and implement scalable and robust data pipelines using GCP services
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- Build and maintain data lakes, data warehouses, and ETL/ELT workflows
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- Work with large-scale structured and unstructured datasets
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- Optimize data processing pipelines for performance, cost, and reliability
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- Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions
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- Develop and enforce data quality, governance, and security standards
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- Automate data workflows and orchestration using tools like Apache Airflow / Cloud Composer
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- Ensure high availability and fault tolerance of data platforms
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- Monitor and troubleshoot data pipelines and production issues
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- Mentor junior engineers and contribute to best practices
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Must Have Skills & Experience

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- 10+ years of experience in data engineering or related roles
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- Solid hands-on experience with Google Cloud Platform (GCP) services such as:
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- o BigQuery
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- o Dataflow
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- o Pub/Sub
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- Expertise in Python, SQL, and distributed data processing frameworks (e.g., Apache Beam, Spark)
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- Experience designing real-time and batch data pipelines
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- Strong understanding of data modeling, data warehousing, and ETL/ELT concepts
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- Experience with CI/CD pipelines and DevOps practices
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- Familiarity with data governance, data security, and compliance frameworks
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- Proven ability to work with large datasets in a cloud environment
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- Strong problem-solving and performance optimization skills
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Nice to Have

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- Experience with multi-cloud environments (AWS/Azure)
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- Knowledge of containerization (Docker, Kubernetes)
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- Experience with streaming frameworks (Kafka, Pub/Sub streaming)
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- Exposure to Machine Learning pipelines (Vertex AI)
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- Certifications such as:
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- o Google Professional Data Engineer
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- Experience in domain-specific industries (telecom, finance, healthcare, etc.)
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- Familiarity with data cataloging and governance tools
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- Strong analytical and problem-solving skills
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- Excellent communication and stakeholder management
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- Ability to translate business requirements into technical solutions
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- Leadership and mentoring capabilities
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- Focus on scalability, reliability, and performance
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📌 Senior Data Engineer-Gcp (New South Wales)
🏢 Ampstek
📍 New South Wales