Descripción de la oferta
Overview
As Senior Big Data Engineer in the Data department, you own the analysis, design, and support of major realtime big data projects, delivering robust solutions and promoting best practices. You will drive data-driven excellence and enable strategic decision-making through scalable data platforms. You’ll work to ensure data accuracy, reliability, and timely insights while collaborating with cross-functional teams to advance the company’s data initiatives. This role combines hands-on engineering with leadership in code reviews and technology adoption.
Compensaciones / BeneficiosGreat career development opportunitiesHybrid working modelInternational Health InsuranceHealth and Wellbeing Package (350 EUR per year)Birthday Day OffMe Time - 1 day off per year
ResponsabilidadesDesign, create, and maintain ETL processes, data integrations, and data pipelinesHandle vast volumes of data with high efficiencyDevelop high-performance services for processing, storing, and analyzing large datasetsDesign and implement data validation and quality checks tailored to business needsTroubleshoot live production systems to ensure smooth operationsExperiment with and adopt new technologies to stay ahead of current and future projects
Requisitos principalesBig data technologies such as Spark, Kafka, NiFi, ClickHouse and Big Data datastoresSchema design methodologies and data modelingExpertise in extracting large datasets using SQL; familiarity with SQL databasesObject-oriented programming experience, preferably Python and/or JavaCloud-based and/or distributed systems experienceProblem solvingInnovative mindsetCollaborative and cross-functional communicationSparkKafkaNiFi
