Senior Big Data Engineer

Gaming Innovation Group

Marbella

Híbrido

EUR 70.000 - 100.000

Jornada completa

hace 44 horas
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Ventajas ofrecidas por este puesto de trabajo

Hybrid working model
International Health Insurance
Health and Wellbeing Package
Birthday Day Off
Me Time - 1 day off per year

Descripción de la vacante

Gaming Innovation Group in Marbella is hiring a Senior Big Data Engineer to own design, build and support major realtime big data projects within the Data department.

You will drive data-driven excellence by creating robust data pipelines, validating data quality, and implementing efficient processing across large datasets using Spark, Kafka, Nifi, ClickHouse and cloud technologies.

Formación

  • Experience designing and maintaining ETL pipelines.
  • Strong data modeling and schema design skills.
  • Expertise in SQL for large datasets.
  • Hands-on experience with cloud and distributed systems.

Responsabilidades

  • Design, create, and maintain ETL processes, data integrations, and data pipelines.
  • Ensure seamless handling of vast amounts of data.
  • Leverage extensive knowledge to develop high-performance services to process, store, and analyse large datasets using optimised code.
  • Maintain data accuracy and reliability; lead data validation and quality checks.

Conocimientos

ETL design
Data modeling
SQL data extraction
Cloud & distributed systems

Herramientas

Spark
Kafka
Nifi
ClickHouse
Python
Java

Descripción del empleo

Senior Big Data Engineer

Department: Technology

Employment Type: Full Time

Location: Marbella

Reporting To: Jake Montebello

Description

At GiG we are looking to hire a Senior Big Data Engineer in our Data department. You will assume a pivotal role in taking ownership of the analysis, design, building, support of major realtime big data projects and contribute to
the team's success through code reviews, promoting best practices and
implementing robust solutions across all aspects of big data endeavours.
Embracing this vital role, the Senior Big Data Engineer is instrumental in driving data-driven excellence, harnessing the power of information for strategic decision-making, and fostering organisational growth and success.

Key Responsibilities
  • Design, create, and maintain ETL processes, data integrations, and data pipelines
  • Ensure seamless handling of vast amounts of data.
  • Leverage extensive knowledge, the engineer develops high-performance services to efficiently process, store, and analyse large datasets
    using optimised code.
  • Aim to maintain data accuracy and reliability, takes the lead in designing and implementing data validation and quality checks tailored to meet specific business needs.
  • Troubleshoot live production systems is a regular part of the engineer's responsibilities, ensuring smooth operations and swift issue resolution.
  • Demonstrate an innovative spirit, the engineer actively tests and
    implements new technologies, staying abreast of the latest advancements relevant to current and future projects.
Requirements
  • Strong level of expertise with big data technologies such as Spark, Kafka, Nifi, ClickHouse and Big Data datastores.
  • Strong understanding of schema design methodologies and data models
  • Expert in extracting large datasets using SQL, familiarity with SQL
  • databases
  • Experience with object oriented programming skills - ideally Python and/or Java
  • Strong experience with cloud computed and/or distributed systems
Benefits
  • Great career development opportunities
  • Hybrid working model
  • International Health Insurance
  • Health and Wellbeing Package (350 EUR per year)
  • Birthday Day Off
  • Me Time - 1 day off per year
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