GCP Data Engineer ( Contractual Role ) (Jaipur)

Job Summary: We are looking for a highly skilled and motivated GCP Data Engineer to join our team immediately. This is a remote prospect to support a key client in the retail industry. 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. Key Responsibilities: - Design, build, and maintain scalable data pipelines on GCP. - Work with Azure Data bricks to support data processing and ML workflows. - Build and manage DBT models for data transformation, quality checks, and reporting. - Handle structured and unstructured data using modern cloud data stack technologies. - Implement secure coding practices and ensure compliance with data privacy standards (PII handling). - Collaborate with data scientists to product ionize machine learning models. - Integrate and analyze data from various retail sources (in -store POS and e -commerce platforms). - Monitor and optimize data workflows for performance, scalability, and cost efficiency. - Work closely with cross -functional teams to deliver robust and reliable data solutions. Requirements Required Skills & Qualifications: - 5+ years of experience in data engineering or related roles. - Strong expertise in Google Cloud Platform (GCP) data services (BigQuery, Data flow, Pub/Sub, Cloud Functions). - Experience working with Azure Data bricks for data processing. - Hands -on experience with DBT (Data Build Tool) in production environments. - Proficiency in Python and SQL for data processing and ETL pipelines. - Experience with data orchestration tools (Airflow, Cloud Composer). - Knowledge of secure coding practices and handling PII data . - Experience working with unstructured data (logs, media, text, etc.). - Understanding of retail datasets (offline and online channels). - Familiarity with data science concepts and supporting ML model product ionization. - Excellent communication and collaboration skills Benefits Preferred Qualifications: - Experience working with international clients , especially Australian clients. - GCP Professional Data Engineer certification is a plus. - Familiarity with BigQuery, Data flow, Pub/Sub, Cloud Functions , etc. - Knowledge of Airflow/Cloud Composer for workflow orchestration. Job Summary: We are looking for a highly skilled and motivated GCP Data Engineer to join our team immediately. This is a remote prospect to support a key client in the retail industry. 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. Key Responsibilities: - Design, build, and maintain scalable data pipelines on GCP. - Work with Azure Data bricks to support data processing and ML workflows. - Build and manage DBT models for data transformation, quality checks, and reporting. - Handle structured and unstructured data using modern cloud data stack technologies. - Implement secure coding practices and ensure compliance with data privacy standards (PII handling). - Collaborate with data scientists to product ionize machine learning models. - Integrate and analyze data from various retail sources (in -store POS and e -commerce platforms). - Monitor and optimize data workflows for performance, scalability, and cost efficiency. - Work closely with cross -functional teams to deliver robust and reliable data solutions. Requirements Required Skills & Qualifications: - 5+ years of experience in data engineering or related roles. - Strong expertise in Google Cloud Platform (GCP) data services (BigQuery, Data flow, Pub/Sub, Cloud Functions). - Experience working with Azure Data bricks for data processing. </