Python Data Intelligence Hiring
Python Data Intelligence Hiring
ABOUT CHALLENGE
- 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 PDT | SEP 26, 11:25 AM PDT | 2H |
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
OPEN POSITION
Python Data Intelligence Engineer
| Experience | 1-3 years |
| Compensation | As per industry standards |
| Job Location | Hyderabad, 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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ABOUT COMPANY
- 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.
- Website – https://www2.deloitte.com/ui/en.html
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