Jobs → Data & Analytics → GCP Data Engineer

About the Role We are looking for a GCP Data Engineer to design, build, and maintain scalable cloud data infrastructure, data pipelines (ETL/ELT), and data warehouses across Google Cloud Platform and Amazon Web Services. Key Responsibilities • Design and implement scalable cloud data infrastructure • Build and maintain data pipelines (ETL/ELT) • Develop and manage data warehouses • Work with BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud Composer, Vertex AI, and Looker on GCP • Utilize Amazon S3, AWS Glue, Amazon Redshift, Amazon EMR, AWS Lambda, Kinesis, and Athena on AWS • Develop in Python, Java, SQL, PySpark, Apache Spark, and Apache Airflow • Implement Docker and Kubernetes for containerization • Apply dimensional modeling (Star/Snowflake schema), data lakes, and NoSQL/SQL database design Requirements • Experience with Google Cloud Platform and Amazon Web Services • Proficiency in BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud Composer, Vertex AI, and Looker • Knowledge of Amazon S3, AWS Glue, Amazon Redshift, Amazon EMR, AWS Lambda, Kinesis, and Athena • Strong programming skills in Python, Java, SQL, PySpark, Apache Spark, and Apache Airflow • Experience with Docker and Kubernetes • Understanding of dimensional modeling, data lakes, and NoSQL/SQL database design • Preferred certifications: Google Cloud Professional Data Engineer or AWS Certified Data Analytics – Specialty