ROLE- Python Developer with Hadoop Background
LOCATION- Chicago, IL, Denver, CO, Jacksonville, FL, Charlotte, NC (5 DAYS Onsite interview from these locations 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.
o Focus is on advanced SQL and data analysis capabilities.
o Onsite SQL rounds are challenging.
o During phone screens, candidates are asked to walk through how they would solve problems.
Strong Python experience is also critical.
o Python is used extensively across their frameworks.
o Kafka is part of the environment/tooling.
Hadoop knowledge is important because their framework/environment is Hadoop-based.
o Candidates with only SQL/Python experience but no Hadoop or big data exposure may struggle to adapt.
o Candidates should understand how to work within and improve a Hadoop environment.
Hive and PySpark experience are must-haves.
o Candidates should have hands-on experience in Hadoop ecosystem environments.
o PySpark experience alone on AWS is usually not enough if the candidate lacks broader big data/Hadoop exposure.
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