Python Developer with Hadoop

Python Developer with Hadoop Background

Chicago, IL, Denver, CO, Jacksonville, FL, Charlotte, NC (Onsite interview from these locations only)

W2 Candidates only

5 Days Onsite

Python Sql Hive Pyspark Hadoop (Exposure) rest all Development and coding experience. No Data Engineer profiles

Jd

Key Skills & Technical Focus

Strong SQL skills are the top priority.

• Focus is on advanced SQL and data analysis capabilities.
• Onsite SQL rounds are challenging.
• During phone screens, candidates are asked to walk through how they would solve problems.
  
  

Strong Python experience is also critical.

• Python is used extensively across their frameworks.
• Kafka is part of the environment/tooling.
  
  

Hadoop knowledge is important because their framework/environment is Hadoop-based.

• Candidates with only SQL/Python experience but no Hadoop or big data exposure may struggle to adapt.
• Candidates should understand how to work within and improve a Hadoop environment.
  
  

Hive and PySpark experience are must-haves.

• Candidates should have hands-on experience in Hadoop ecosystem environments.
• PySpark experience alone on AWS is usually not enough if the candidate lacks broader big data/Hadoop exposure.