Data Engineering Code Challenge
Tuesday 22 October 2024
Starts 18:30 PM
Finishes 20:00 PM
Venue: World Trade Center Lisboa
Address TBC
2790-045 Carnaxide
About this event
Closer in partnership with ZYLYTY invites you to the ultimate Data Engineering Code Challenge Hackathon!Are you a Data Engineer looking to showcase your skills and connect with industry leaders? Look no further! ZYLYTY is partnering with Closer Consulting to bring you an exciting Data Engineering Code Challenge Hackathon that you won’t want to miss.How to Participate:
You’ll have until the 20th of October (23:59) to submit the Data Engineering Code challenge at ZYLYTY.com and try to get the best score possible.
Register your presence at the event through the Eventbrite link (mandatory to attend in person and win the prize) and add the link to your score!
🏆 Award Sessions and Prize to the Winner 🏆
Date: Tuesday, October 22nd, 2024
Location: World Trade Center Lisboa – W, Rua Fernando Távora nº 1-A, 7º, 2790-256
Time: 6:30 PM — 8:00 PM
Don’t miss out on this incredible opportunity to challenge yourself, learn new skills, and make lasting connections. We look forward to seeing you there!
************************************FAQs***********************************************
Why Participate?
Showcase Your Expertise: This is your chance to demonstrate your skills in SQL and Python, and stand out as a top Data Engineer.
Networking Opportunities: Connect with industry leaders, potential employers, and like-minded professionals who share your passion for technology.
Prizes and Recognition: Compete for a 500 euros voucher from NOS and gain recognition for your talents. The prize will be awarded to the person with the highest score who attends the event on October 22nd.
Career Growth: Learn about exciting job opportunities at Closer and how you can be a part of their innovative projects.
Focus of the Challenge:
This code challenge is focused on finding the best Senior Software Developers and Senior Data Engineers who are pros in SQL and Python.
Who Can Join?
This is an individual code challenge, focusing on Data Engineers.
This page last updated Monday 30 September 2024 at 00:23.
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