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Python Developer With Hadoop

  • Job type Posted on: Jul 15, 2026
  • Experience level JobItUs
  • Employment type Chicago, Illinois
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Python Developer With Hadoop

Job Type :

Full-time

Job Location :

Chicago Illinois United States

Remote :

No

Jobcon Logo Job Description :

Python Developer with Hadoop Background Chicago, IL, Denver, CO, Jacksonville, FL, Charlotte, NC (Onsite interview from these locations only) W2 Candidates – visa open 5 Days Onsite Python + Sql + Hive + Pyspark + Hadoop (Exposure) – rest all Development and coding experience. No Data Engineer profiles Job Description 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. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 15, 2026

Reference Number:

14660_1C343FE85D47A171FB4EEE82F15CA749

Employment:

Full-time

Salary:

Not Available

City:

Chicago

Job Origin:

APPCAST_CPC

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Python Developer with Hadoop Background Chicago, IL, Denver, CO, Jacksonville, FL, Charlotte, NC (Onsite interview from these locations only) W2 Candidates – visa open 5 Days Onsite Python + Sql + Hive + Pyspark + Hadoop (Exposure) – rest all Development and coding experience. No Data Engineer profiles Job Description 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. #J-18808-Ljbffr

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