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Gaming Innovation Group

Senior Big Data Engineer

Gaming Innovation Group Barcelona, Catalonia, Spain

Gambling Facilities and Casinos · 501-1,000 employees

3 h ago
data-engineer Senior (5-10 yrs) Full-time Spain
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About the role

The Senior Big Data Engineer will design, build, and maintain ETL processes and data pipelines to handle large-scale datasets. They are also responsible for troubleshooting production systems and implementing robust, high-performance data solutions.

What they look for

Big Data Spark Kafka Nifi ClickHouse SQL Python Java ETL Data pipelines Schema design Data modeling Cloud computing Distributed systems Data validation Data quality

Requirements

Candidates must have strong expertise in big data technologies like Spark and Kafka, along with proficiency in SQL and object-oriented programming languages such as Python or Java. A deep understanding of schema design, data modeling, and cloud-based distributed systems is required.

Benefits

Career development opportunities Hybrid working model International Health Insurance Health and Wellbeing Package Birthday Day Off Me Time

Full description

Senior Big Data Engineer

Department: Technology

Employment Type: Full Time

Location: Barcelona

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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