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Sr. Data Engineer

No of Positions  No of Positions:   1

location Location: Hyderabad

date Tentative Start Date:   January 27, 2023

Work From Work From : Onsite

rate Rate : $ 10  -  18 (Hourly)

experience Experience : 4 to 8 Year

Job Applicants : 9
Job Views : 516
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Job Category : Information Technology & Services
Duration : 6-12  Month
Key Skills Required Skills
Python GCP API’s NOSQL Tableau Power BI OOPs Data Warehousing Technologies
Description

Sr. Data Engineer &  Lead Data Engineer ( Need 2 years of leading experience) 

This involves both ad-hoc requests as well as data pipelines that are embedded in our production environment.

Additionally, you will: 

  • Gain experience using different big data and Cloud based Data technologies. 
  • Experience operating distributed systems of data extraction and processing of large data sets. 
  • Identify, analyze, and interpret trends or patterns in complex data sets.  
  • Design data processing pipelines. 
  • Write good documentation with all code. 
  • Develop strong communication skills with a proven success communicating with users, other tech teams.


Educational Qualifications

Bachelor/Master’s degree in Computer Science, Computer Engineering, quantitative studies, such as Statistics, Math, Operation Research, Economics and Advanced Analytics 


Requirements

  • 4 - 8 years of hands- on experience of developing python-based solutions/applications.
  • Strong experience in Python, preferably with a good low level designing and programming concepts.
  • Strong experience in any cloud platform preferably AWS or GCP. 
  • Strong experience of working with API’s and integrating multiple applications together.
  • Experience with SQL and relational databases.
  • Solid architectural understanding of NOSQL databases.
  • Good understanding of cloud security best practices.
  • Excellent understanding of OOP concepts with experience applying it in enterprise programming.
  • Deep understanding of distributed systems (e.g. CAP theorem, partitioning, replication, consistency, and consensus)
  • Good Git version control practices
  • Proficient with Microsoft office suite (Excel, Word, PowerPoint)
  • Experience of working with Data Warehousing Technologies like BigQuery, Redshift, or snowflake is a plus.
  • Experience in using Business Intelligence tools such as: Tableau, Power BI for business applications is a plus.
  • Self-starter and have strong interpersonal skills
  • Strong analytical, problem solving, and troubleshooting abilities.
  • Flexibility to adapt to a variety of engagement types, working hours and work environments and locations. 


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