Python Data Intelligence Hiring

Python Data Intelligence Engineer Hiring
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Python Data Intelligence Hiring

Python Data Intelligence Hiring


  • We are looking for participants enthusiastic about implementing large-scale data ecosystems.
  • So The focus is to gauge the participant’s acquaintance & depth in Python programming, SQL libraries, working with Pandas and NumPy.
Opens at Closes on Duration
SEP 17, 05:30 AM PDTSEP 26, 11:25 AM PDT2H

Challenge Format for Python Data Intelligence Hiring :

  • 2 Basic Programming Questions(Restricted to  Python)

Recruitment Process for Python Data Intelligence Hiring:

  • Firstly, Round 1 – 30-45mins video interview on technology fluency & experience
  • Secondly, Round 2 – Managerial round 
    If a candidate clears R1 & R2, there will be an HR Round


Python Data Intelligence Engineer

Experience1-3 years
CompensationAs per industry standards
Job LocationHyderabad, Bangalore, New Delhi & Mumbai.
  • Firsly, 1-3 years experience in Python   
  • Secondly, 1+ years experience SQL 
  • Also, 1+ years of hands on experience with data ingestion and transformation using Python libraries
  • Also Understanding of the benefits of data warehousing , data architecture and data quality processes, also data warehousing design.
  • Additionally, implementation, table structure, fact and dimension tables, logical and physical database design, data modeling and reporting process metadata, also ETL processes.
  • Moreover , Understanding of working on Cloud (AWS, Azure), especially architecture and services on data management.
  • To sum up ,The challenge will not only focus on your quotient to write a code but also on your methodology to optimize design and also testing.

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  • Deloitte’s India offices of the US are a region within the Deloitte US organization, with offices across four cities in India – Hyderabad, Mumbai, Delhi, and Bengaluru.
  • Although , These entities, which together refer to India offices of the US, primarily render services to their respective US-based parents.
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