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.