Senior GCP Data Engineer
W skrócie
Senior GCP Data Engineer role in Telecommunications. Build scalable batch/real-time data platforms and streaming pipelines. Requires GCP, Kafka, Flink, Python, Spark, PySpark, SQL, Hadoop, Snowflake. Remote, B2B contract, 12 months. Fluent English needed.
Słowa kluczowe
Skrót przygotowany przez AI na podstawie treści ogłoszenia.
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.
| Opublikowana | 2026-11-03 |
| Wygasa | 2027-01-07 |
| Źródło |
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