Gcp Data Engineer

4 weeks ago

India Ciphercru Innovation Pvt Ltd Full time
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 GCPWork 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 Big Query, 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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