Hadoop Big Data Developer

The project aims to design and implement efficient, production-ready data pipelines that process large volumes of data, improve data accessibility, and support advanced analytics across the organization.

• 6 months or more of experience, long-term cooperation
• Strong focus on Hadoop ecosystem, Spark, Hive
• Hands-on development experience with ETL pipelines and large-scale data processing
• Experience with Kafka, Sqoop, and workflow orchestration (Oozie/Airflow)
• Strong programming skills in Java, Scala, or Python
• Software Engineering background preferred

• Develop ETL pipelines and large-scale data processing solutions
• Work with Hadoop ecosystem components including Spark and Hive
• Utilize tools such as Kafka, Sqoop, and workflow orchestration tools like Oozie or Airflow
• Build and optimize scalable data solutions in production environments