Ø Primary skill required for the data engineer role is hands-on experience with Spark, particularly PySpark.
Ø Candidates must have experience in coding data pipelines in Spark and should be comfortable with Python for automation.
Ø Other skills like Azure, Airflow, and Databricks are valuable to have but not mandatory.
Ø 1 Coding Challenges in Interviews: candidates must be comfortable with hands-on coding during the interview process.
Ø They should be able to write code in PySpark or Scala Spark and should have built and productionized data pipelines. This is crucial for the data engineer role.
📌 Python Pyspark Developer (Pune)
🏢 TalentOla
📍 Pune
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