Your tasks

 

Design, implement, and optimize data pipelines and workflows leveraging tools and technologies within the Hadoop ecosystem, including: HDFS, YARN, Spark, HBase, Impala, HIVE Java Expertise for APIs and Batch Processes Build and deploy RESTful APIs using Java Spring Boot to facilitate seamless data integration and interoperability across systems Design and maintain batch processes using Java, ensuring the efficient execution of data workflows and business logic Implement robust error handling, logging, and monitoring solutions Database Management Maintain, and optimize relational database solutions using Oracle DB Write complex and efficient SQL & Spark SQL queries to ensure optimal database

 

 

Your skills

 

At least 2 years of commercial experience as a Data Engineer Strong SQL knowledge Experience with Hadoop ecosystem including: HDFS, YARN, Spark, HBase, Impala, HIVE Proficiency in distributed computing frameworks and data processing at scale Experience with ETL pipelines and data modelling Solid understanding of cluster management, big data troubleshooting, and API development using Java Spring Strong analytical and problem-solving skills with attention to detail

 

 

We offer you

 

Working in a highly experienced and dedicated team The first contract is for 6 months, with the possibility of extension Competitive salary and extra benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.) On-line training and certifications fit for career path On-line foreign language lessons Social events Access to e-learning platform Ergonomic and functional working space