Senior Real-Time Big Data Engineer

Aldia

España

Hybrid

EUR 70,000 - 110,000

Full time

11 days ago

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Benefits offered by this job

Hybrid working model
International Health Insurance
Health and Wellbeing Package (350 EUR)
Birthday Day Off
Me Time 1 day off per year
Great career development opportunities

Job summary

GiG in Spain is seeking a Senior Big Data Engineer to own design, build, and support major realtime data projects. You will drive data-driven decisions, review code, promote best practices, and implement robust data pipelines in a hybrid work setting.

You'll work with Spark, Kafka, Nifi, ClickHouse and SQL to process and validate large datasets, design scalable data models, and troubleshoot live systems while exploring new technologies to improve performance.

Qualifications

  • Expertise with Spark, Kafka, Nifi and ClickHouse for large-scale data pipelines.
  • Strong SQL skills and ability to extract data from complex sources.
  • Experience with object-oriented programming in Python and/or Java.
  • Understanding of data models, schema design and distributed cloud architectures.

Responsibilities

  • Design, create, and maintain ETL processes, data integrations, and pipelines.
  • Ensure seamless handling of vast amounts of data and data quality checks.
  • Develop high-performance services to process, store, and analyze large datasets.
  • Lead data validation, troubleshoot live production systems, and implement new technologies.

Skills

SQL
Python
Java
Cloud/Distributed Systems

Tools

Spark
Kafka
Nifi
ClickHouse

Job description

GiG in Spain is seeking a Senior Big Data Engineer to own design, build, and support major realtime data projects. You will drive data-driven decisions, review code, promote best practices, and implement robust data pipelines in a hybrid work setting.

You'll work with Spark, Kafka, Nifi, ClickHouse and SQL to process and validate large datasets, design scalable data models, and troubleshoot live systems while exploring new technologies to improve performance.

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