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, BigQuery, Airflow, and modern ETL/ELT frameworks. Responsibilities • Design, develop, and maintain scalable data pipelines using Python and PySpark • Build and optimize ETL/ELT workflows using Apache Airflow • Develop data transformation models and workflows using dbt • Work with BigQuery 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 Required Skills • Strong hands-on experience with Python and SQL • Experience with PySpark and distributed data processing • Good knowledge of BigQuery 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 Familiarity with GCP services such as: • BigQuery • Cloud Storage • Dataproc • Composer • Pub/Sub • Experience with Git and CI/CD practices • Strong analytical and problem-solving skills