Senior Big Data Engineer

Gaming Innovation Group; Barcelona; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work

Health insurance

Wellbeing package

Birthday day off

Me Time

Career growth

Descripción de la vacante

Gaming Innovation Group is seeking a Senior Big Data Engineer to join the Data department in Barcelona. You will own design, development and support of major realtime big data projects, promoting best practices and robust solutions across data platforms.

You will design ETL processes, work with Spark, Kafka, NiFi and ClickHouse, and ensure data quality and scalable systems in a hybrid work environment. Collaboration with cross-functional teams is expected.

Formación

• Experience with big data technologies such as Spark, Kafka, NiFi, and ClickHouse.
• Strong data modelling and schema design skills.
• Proficient in Python and/or Java and SQL.

Responsabilidades

• Design, build, and maintain ETL pipelines and data integrations.
• Handle large-scale data processing with robust, optimized code.
• Develop high-performance services for storage and analysis of big data.
• Implement data validation and quality checks.
• Troubleshoot production systems and resolve issues quickly.
• Evaluate and adopt new technologies to stay ahead.

Conocimientos

Spark

Kafka

NiFi

ClickHouse

Big data stores

SQL

Python

Java

Cloud / distributed systems

Descripción del empleo

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