Data Engineer (Spark)

Data Engineer (Spark) Miejsce pracy: Gdańsk Technologies we use Expected Python SQL Spark Airflow Cloudera Optional Kubernetes Kafka NiFi Trino Hudi Java Scala Docker Databricks Iceberg AWS Operating system Windows macOS About the project As a Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join: • Project 1: [insert project description] • Project 2: [insert project description] • Project 3: [insert project description] Requirements: • Strong understanding of data engineering concepts and technologies, including Spark, Python, SQL, Airflow, Cloudera, Kubernetes, Kafka, NiFi, Trino, Hudi, Java, Scala, Docker, Databricks, Iceberg, AWS, Windows, macOS. • Experience with big data processing and analytics using Spark, Python, SQL, and other relevant technologies. • Strong understanding of data modeling, data warehousing, and ETL processes. • Excellent problem-solving skills and ability to work independently. • Strong communication and collaboration skills. • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. Benefits: • Opportunity to work on challenging projects with cutting-edge technologies. • Collaborative and dynamic work environment. • Professional development opportunities. • Competitive salary and benefits package.