:

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

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 workplace.

- 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.

📌 Python Developer with Hadoop (India)
🏢 MM Staffing u0026 Career Consultants
📍 India