—
Job Summary We are looking for a skilled Big Data Engineer with strong expertise in Java-based backend development and distributed data processing. The ideal candidate will work on building scalable data pipelines and processing large datasets using modern big data technologies. Key Responsibilities • Design, develop, and maintain scalable data processing systems using Apache Spark and Hadoop (HDFS) • Build robust backend services and APIs using Java and Spring Framework (Spring Boot) • Develop and optimize ETL pipelines for large-scale structured and unstructured data • Work with distributed storage systems like HDFS for efficient data handling • Collaborate with data scientists and analysts to deliver data solutions • Monitor and troubleshoot performance issues in big data environments • Ensure data quality, integrity, and security across systems • Participate in code reviews and follow best development practices Required Skills • Strong proficiency in Java (8 or above) • Hands-on experience with Apache Spark (Core, SQL, or Streaming) • Solid understanding of Hadoop ecosystem, especially HDFS • Experience with Spring Framework / Spring Boot • Knowledge of distributed computing concepts and data processing • Familiarity with RESTful APIs and microservices architecture • Experience with build tools like Maven/Gradle Preferred Skills • Experience with Kafka or other messaging systems • Knowledge of cloud platforms (AWS, Azure, or GCP) • Familiarity with containerization tools like Docker/Kubernetes • Understanding of data warehousing and NoSQL databases (HBase, Cassandra)
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| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Senior Big Data Engineer | fallback | 447 | 2026-03-21 20:58 | |
| junior data engineer in Paris | fr | duplicate | 13122 | 2026-03-21 17:41 |
| junior data engineer in France | fr | duplicate | 15254 | 2026-03-21 17:41 |
| junior data scientist in France | fr | processed | 11079 | 2026-03-21 16:55 |
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