Data Engineer

Data Engineer

• Design, build, and maintain robust data pipelines using Apache Spark and Python.
• Develop and manage workflow orchestration using Apache Airflow.
• Implement scalable data solutions on Google Cloud Platform (GCP) using services like BigQuery, Cloud Storage, Dataflow, and Vertex AI.
• Collaborate with data scientists to embed machine learning models into production-grade data pipelines.
• Ensure high performance, reliability, and scalability of data systems.
• Monitor, troubleshoot, and optimize data workflows and ML model performance.
• Maintain documentation and follow best practices for version control, testing, and deployment.