Big Data Developer

Design, develop and maintain data lake pipelines using Apache Spark, Scala and SQL. Build and maintain scalable data processing solutions for large volumes of data. Orchestrate batch workflows and dependencies using tools such as Control-M and Airflow. Support production incidents, perform root-cause analysis and contribute to continuous improvement of operational processes.

2+ years of professional experience in Big Data, Data Lakes or cloud-based data platforms. Strong hands-on experience with Apache Spark, Scala and SQL for large-scale data processing. Good understanding of Data Lake architecture, data quality controls, data lineage and production-grade data pipelines. English: C1 level or equivalent professional fluency.

100% Remote set up. Training and career development opportunities. Possibility to be part of a multicultural team and work on international projects.