Junior / Mid Big Data Engineer

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