Posted Today
Senior Big Data Engineer
MadridHybridFull-time
AI Summary
Design, build, and maintain ETL processes and big data pipelines; process and analyze large datasets using Spark, Kafka, and ClickHouse; ensure data quality and troubleshoot production systems.
About this role
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.
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.
Skills, Knowledge & Expertise
- 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
Skills
ClickHouseCloud ComputingData PipelinesDistributed SystemsETLJavaKafkaNiFiPythonSchema DesignSparkSQL
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