GCP Data Engineer

We are seeking a skilled GCP Data Engineer with 4+ years of experience in Python and SQL to design, build, and optimize scalable data pipelines on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in data processing, cloud services, and data warehousing. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and SQL Work with GCP services such as: BigQuery (data warehousing) Cloud Storage Dataflow / Apache Beam Cloud Composer (Airflow) Perform data ingestion, transformation, and integration from multiple sources Optimize SQL queries for performance and cost efficiency Ensure data quality, governance, and security standards Collaborate with data analysts and business stakeholders to understand requirements Monitor and troubleshoot data pipeline issues Implement ETL/ELT processes and automation Required Skills 4+ years of experience in Data Engineering / Data Analytics Strong proficiency in: Python (Pandas, PySpark is a plus) SQL (advanced joins, window functions, optimization) Hands-on experience with Google Cloud Platform (GCP) Experience with BigQuery and large-scale data processing Knowledge of ETL/ELT frameworks Understanding of data modeling (star/snowflake schema) Familiarity with version control (Git)Good to Have Experience with Apache Airflow / Cloud Composer Knowledge of PySpark or Databricks Exposure to CI/CD pipelines Understanding of data lakes and lakehouse architecture Basic knowledge of machine learning workflows Qualifications Bachelor s degree in Computer Science, IT, or related field Relevant certifications (optional but preferred): Google Cloud Professional Data Engineer Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.