
GCP Data Engineer
4 weeks ago
- Job Title: GCP Data Engineer
- Location: Remote ( Contractual)
- Shift Timing: Australian Shift
- Experience Required: 5 to 9 Years
Job Description:
- We are looking for a highly skilled and motivated GCP Data Engineer to join our team immediately. This is a remote opportunity working in the Australian time zone, supporting one of our key clients in the retail industry.
- The ideal candidate will have a strong background in cloud-based data engineering with hands-on experience in Google Cloud Platform, Azure Databricks, and DBT (Data Build Tool). The role requires working with large-scale datasets (structured and unstructured), including retail offline (store sales) and online (e-commerce) data, as well as PII-sensitive information.
- Key Responsibilities:
- Design, build, and maintain scalable data pipelines on GCP
- Work with Azure Databricks to support data engineering and ML workflows
- Build and manage DBT models for data transformation and quality checks
- Handle structured and unstructured data using modern cloud data stack
- Implement secure coding practices and ensure compliance with data privacy standards (e.g., PII handling)
- Collaborate with data scientists to productionize machine learning models
- Integrate and analyze data from various retail sources (in-store POS and e-commerce)
- Monitor and optimize data workflows for performance, scalability, and cost-efficiency
- Work closely with cross-functional teams to deliver robust and reliable data solutions
- Required Skills & Qualifications:
- 5–9 years of overall experience in data engineering
- Strong expertise in Google Cloud Platform (GCP) data services
- Experience working with Azure Databricks for data processing
- Hands-on experience with DBT (Data Build Tool) in production environments
- Experience with secure coding practices and handling PII data
- Solid understanding of retail industry datasets (offline and online channels)
- Proficiency in Python, SQL, and data pipeline orchestration tools
- Experience working with unstructured data (logs, media, text, etc.)
- Knowledge of data science concepts and ability to support/productionize ML models
- Excellent communication and collaboration skills
- Preferred Qualifications:
- Experience working in Australian or international client environments
- GCP Professional Data Engineer certification is a plus
- Familiarity with BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.
- Knowledge of Airflow/Cloud Composer for orchestration
- Interview Process:
- Client interview required (virtual)
- If you're passionate about working on cutting-edge data technologies in the retail domain and thrive in a remote, fast-paced environment, we'd love to hear from you
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