GCP Data Engineer

We are looking for a highly skilled GCP Data Engineer with a strong background in either Python or Java to join our team. As a GCP Data Engineer, you will design, develop, and maintain data processing systems on Google Cloud Platform (GCP) to handle large-scale datasets efficiently. You will work closely with cross-functional teams to build and deploy robust data pipelines, ensuring data availability, accuracy, and accessibility for business analytics and insights. Key Responsibilities: Design and implement scalable data pipelines using Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Composer . Develop data integration solutions to extract, transform, and load (ETL) data from various structured and unstructured data sources. Collaborate with data scientists, analysts, and software engineers to optimize data workflows and ensure high-performance data processing. Build and maintain automated processes for data ingestion, transformation, and analysis. Write efficient, reusable, and reliable code primarily in Python or Java for data processing tasks. Optimize and troubleshoot data pipelines for maximum reliability and performance. Ensure data governance and security standards are implemented in all aspects of the data pipeline. Implement and manage CI/CD pipelines for deploying and monitoring data workflows. Work with the operations team to ensure the availability, reliability, and performance of data infrastructure. Perform data quality checks, validation, and documentation. Qualifications: Bachelors or Masters degree in Computer Science, Data Engineering, Information Technology, or a related field. 3 years of experience in a data engineering role, preferably with cloud platforms (Google Cloud Platform preferred). Proficiency in Python or Java for developing data pipelines and ETL processes. Strong experience with GCP services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Functions, Cloud Composer . Hands-on experience with SQL and query optimization for processing large datasets. Knowledge of Apache Beam or Apache Kafka is a plus. Experience with version control (Git) and CI/CD pipelines (e.g., Jenkins, Cloud Build). Familiarity with data modeling, schema design, and data warehousing concepts . Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills, with the ability to work in a team-oriented environment. Preferred Qualifications: Experience with other cloud platforms like AWS or Azure . Knowledge of Terraform or other infrastructure-as-code tools. Certification in Google Cloud Professional Data Engineer is a plus. Exposure to machine learning workflows or data science projects .