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 Skills: python,sql,gcp,airflow,data,cloud