Data Engineer; GCP

We are looking for a skilled Data Engineer with proven experience in building and maintaining scalable data pipelines and cloud-based data platforms on Google Cloud Platform (GCP). The ideal candidate should have hands‑on expertise in Python, SQL, PySpark, Big Query, Airflow, and modern ETL/ELT frameworks.

• Design, develop, and maintain scalable data pipelines using Python and Py Spark
• Build and optimize ETL/ELT workflows using Apache Airflow
• Develop data transformation models and workflows using dbt
• Work with Big Query for data warehousing, querying, and optimization
• Write efficient and optimized SQL queries for large‑scale data processing
• Ensure data quality, integrity, and reliability across pipelines
• Collaborate with Data Analysts, Data Scientists, and business stakeholders for data requirements
• Monitor and troubleshoot production data workflows and resolve issues proactively
• Implement best practices for logging, monitoring, testing, and CI/CD
• Optimize cloud resource usage and cost efficiency on GCP
• Participate in code reviews and engineering best practices

• Strong hands‑on experience with Python and SQL
• Experience with PySpark and distributed data processing
• Good knowledge of Big Query and GCP services
• Experience with Apache Airflow for orchestration
• Hands‑on experience with dbt for data transformation and modeling
• Understanding of ETL/ELT frameworks and data warehousing concepts

• Big Query
• Composer
• Pub/Sub
• Experience with Git and CI/CD practices
• Strong analytical and problem‑solving skills