Job Summary:

We are looking for a highly skilled and motivated GCP Data Engineer to join our team immediately. This is a remote opportunity to support a key client in the retail industry.
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The ideal candidate will have hands -on experience in Google Cloud Platform (GCP), Azure Data bricks, and DBT (Data Build Tool). You will work with large -scale structured and unstructured datasets, including retail offline (store sales) and online (e -commerce) data, as well as PII -sensitive information.
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Key Responsibilities:

- Design, build, and maintain scalable data pipelines on GCP.
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- Work with Azure Data bricks to support data processing and ML workflows.
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- Build and manage DBT models for data transformation, quality checks, and reporting.
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- Handle structured and unstructured data using modern cloud data stack technologies.
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- Implement secure coding practices and ensure compliance with data privacy standards (PII handling).
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- Collaborate with data scientists to product ionize machine learning models.
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- Integrate and analyze data from various retail sources (in -store POS and e -commerce platforms).
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- Monitor and optimize data workflows for performance, scalability, and cost efficiency.
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- Work closely with cross -functional teams to deliver robust and reliable data solutions.
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RequirementsRequired Skills & Qualifications:

- 5+ years of experience in data engineering or related roles.
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- Strong expertise in Google Cloud Platform (GCP) data services (Big Query, Data flow, Pub/Sub, Cloud Functions).
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- Experience working with Azure Data bricks for data processing.
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- Hands -on experience with DBT (Data Build Tool) in production environments.
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- Proficiency in Python and SQL for data processing and ETL pipelines.
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- Experience with data orchestration tools (Airflow, Cloud Composer).
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- Knowledge of secure coding practices and handling PII data.
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- Experience working with unstructured data (logs, media, text, etc.).
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- Understanding of retail datasets (offline and online channels).
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- Familiarity with data science concepts and supporting ML model product ionization.
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- Excellent communication and collaboration skills
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BenefitsPreferred Qualifications:

- Experience working with international clients, especially Australian clients.
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- GCP Qualified Data Engineer certification is a plus.
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- Familiarity with Big Query, Data flow, Pub/Sub, Cloud Functions, etc.
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- Knowledge of Airflow/Cloud Composer for workflow orchestration.
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📌 GCP Data Engineer ( Contractual Role ) (India)
🏢 Ciphercru Innovation
📍 India