Streaming Data engineer

Responsibilities:

• Should be able to write code for the given scenario.
• Should have knowledge on Spark related queries
• MUST Have Flink coding/troubleshoot pipeline level knowledge
• Core Python (example : apply validation rules to csv file, String comparison, collections and Basic constructs)
• Spark Optimization and Spark Submit command.
• SQL MUST ( Example : join and Aggregate window Functions)
• Excellent Communication Skills
• Basics of Streaming pipeline
• basics of Spark Session, Streaming processing, and transformation of streaming data.
• Spark Streaming, kafka , hive etc. Spark or any Streaming technology
• Basics of Spark, hive etc.
• Overall Spark concepts about Sessions , context etc.
• Spark Streaming or Flink Streaming with Kafka project (hands on)
• Azure Cloud and services

Some of the set of queries might be asked for Evaluation:

• Difference between Spark Streaming session Vs Batch Sessions
• Spark Structured Streaming
• spark.readStream() method used to read data in Spark Streaming Application
• Use of writeStream method and what are different arguments supported by it to write data frame to provided sink, it has arguments like format, location, writeMode etc.
• Action need to call for reading data from kafka queue start()
• print output of streaming operation on Terminal Using format( console )