Update your status of this internship

Infrastructure Strategy Data Engineer Intern

literature Infrastructure Strategy Data Engineering

flag Open to all nationalities

Facebook  Facebook

Calender Deadline varies

     Work permit : Not-Required

compare Unpaid Internship



Get the best abroad education loan at free of cost

WeMakeScholars initiative is supported by the Govt. of India; associated with 10+ public/private banks & NBFCs.

Due to high number of loan requests from your region, we are not accepting any new applications at the moment. We believe in offering quality service to our customers.

Sorry for the inconvenience caused.

More about this internship


  • Applicants must be currently pursuing a BA/BS degree
  • Applicants are required to have 4+ experience in programming.
  • Candidates who are are well versed in Set Theory and Relational Algebra and statistics fundamentals are preferred.
  • He/She must be proficient in SQL.
  • Applicants are required to have experience with at least one scripting language PYTHON, JAVA, PERL, PHP, C++, etc. is required.
  • Candidates must showcase problem-solving ability.
  • He/She must have expertise in providing practical business insights from large, complex data sets.
  • Candidates should have the ability to Understand Datawarehousing concepts ETL, OLAP vs. OLTP, Slowly Changing Dimensions a big plus.
  • Applicants must be proficient in designing efficient and robust ETL workflows.
  • Dashboarding / Reporting with any BI tool (Microstrategy, Tableau, Business Objects etc.) is a plus.
  • Applicants are required to have effective interpersonal skills and taking up diverse roles: consultant, leader, liaison, customer, owner, peer, etc.
  • Candidates with experience in hardware or Technical Operations that supports a large scale website.
  • Candidates must be able to work in high energy environment.


  • Applicants must provide assistance in developing tools.
  • Applicants must create and manage failure and trend analysis.
  • Candidates will be working alongside internal technical operations teams to automate data collection, define metrics, build analytical models, forecasts and synthesize relevant data.
  • Candidates will be focused on managing, parsing, collecting, analyzing and visualizing large sets of data to turn information into insights using multiple platforms.
  • Applicants must accept the liberty to create and drive impact for Facebook.
  • Applicants must be leverage tools like Hadoop, SQL, R, Python, Java, Oracle, and Excel drives analytics and performing or reporting data extraction from MySQL/Oracle/hive leveraging a highly extensive data set.


Updated on: 02 Dec, 2016

Source : Facebook
Disclaimer: All Content, Logo and Company names registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.