Data Engineer (Spark)

Looking for a Data Engineer with strong hands-on experience in Spark, programming (Python/Scala/Java), SQL, and Big Data fundamentals. The candidate should be comfortable working with data pipelines, basic data modelling, and orchestration tools like Airflow. Exposure to streaming platforms, cloud environments, and additional big-data ecosystems is a plus.

• Apache Spark Intermediate (23 years)

• Programming (Python / Scala / Java) Intermediate, hands-on (23 years)

• SQL Intermediate to Advanced (12 years)

• Data Modeling Beginner (12 years)

• Airflow Beginner (12 years)

• Big Data Fundamentals (Hive / MapReduce / YARN) Intermediate (12 years)

  
  

• Kafka Beginner (12 years)

• Streaming Frameworks (Spark Streaming / Flink) Beginner (12 years)

• Hive / Delta Lake Beginner (12 years)

• Cloud Platform Exposure (GCP / AWS / Azure) Beginner (12 years)