Data Engineer

Job Summary:

We are seeking a skilled Data Engineer with 2-3 years of hands-on experience in Apache Spark. Proficiency in Python (2-3 years) is a must. You should also have 1-2 years of experience with intermediate to advanced SQL, data modeling, and Apache Airflow. Familiarity with big data fundamentals such as Hive, MapReduce, and YARN is required (1-2 years experience). Good-to-have skills include 1-2 years of experience with Kafka, streaming technologies like Spark or Flink, Hive, Delta Lake, and exposure to cloud platforms such as GCP, AWS, or Azure.