Senior GCP Data Engineer

Details: Industry: Telecommunications Work model: Remote Team Size: Approximately 10 people Assignment type: B2B Project Duration: 12 months, starting ASAP The role of the Senior GCP Data Engineer revolves around building scalable data platforms for the telecommunications industry, contributing to a critical project at the onset of team development. Responsibilities: Design and build scalable batch and real-time data platforms. Develop high-throughput, event-driven streaming pipelines processing large volumes of events per second. Implement end-to-end streaming architectures. Work with temporal joins, watermarks, state management, checkpointing, and exactly-once processing. Monitor backpressure and optimize pipeline performance. Design and develop data lakes, ETL/ELT pipelines and analytics-ready data platforms. Write production-ready code and successfully complete live coding assessments. Must Haves: Strong Google Cloud Platform (GCP) Data Engineering experience. Strong hands-on coding skills. Proven streaming experience. Experience with Apache Kafka and Apache Flink. Proficiency in Python, Spark, PySpark, and SQL. Experience with Hadoop and Snowflake, including data lakes and ETL/ELT pipelines. Fluent in English. Nice to Haves: Experience with Agile methodologies. Keen problem-solving abilities. Familiarity with telecom industry standards.