The posting describes a Data Engineer role focused on building scalable and reliable data pipelines and infrastructure. The work requires strong hands-on experience with SQL, Python or Scala, AWS cloud services, and big data technologies such as Spark, Kafka, and Hadoop, along with data modeling, ETL/ELT development, data warehousing, and orchestration using Airflow. The role also emphasizes strong problem-solving skills and appears to be a technical engineering position.
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