Associate Big Data Engineer
Job Summary
Job Description
- Object-oriented programming (Java)
- Data modeling
- ETL processes (in-memory)
- Apache Spark or Apache NiFi
- CI/CD
- Dockerized applications
- Distributed version control
- Excellent teamwork
- Functional programming (Python, Scala)
- Analytical mindset
- Low-latency databases (ClickHouse)
- Bachelor's degree in Computer Science
- Scoping exercises
- Mentoring
- Linux/Windows experience
- Great career development
- 100% remote or hybrid work
- International health insurance
- Health and wellbeing package (350 EUR/year)
- Birthday day off
- Me time - 1 day off per year
- Free lunches
9 skills required
Job Details
Description
As part of the Big Data Team, you will be using cutting edge technologies to work on collating data across different sources within GiG. Sources are all in real time, and you will be supporting an event driven micro service lambda architecture.
Your focus is to work with the current agile team and contribute to the platform’s objectives and continue being an enabler to many other data technology stakeholders such as the Business Intelligence, Data Science and Quality Assurance teams. You will be up for a challenge, to continue maintaining and adding new features to a platform that ingests up to 5000 messages per second across multiple products such as Lottery, Sports and Casino.
Reporting to the Lead Big Data Engineer and supported by the Big Data Architect to follow best practices, you’ll be guided into delivering world class product increments that support our Tier 1 Platform.
You’re really awesome at:
- Object oriented programming (Java)
- Data modelling using any database technologies
- ETL processes (ETLs are oldschool, we transfer in memory now) and experience with Apache Spark or Apache NiFi
- Applied understanding of CI\CD in change management
- Dockerised applications
- Used distributed version control systems
- Excellent team player
- Meticulous and passionate about your work
You’re also good at:
- Functional oriented programming (experience with Python, Scala)
- Analytical mindset
- Low latency databases such as ClickHouse
- Hold a Bachelor’s Degree in Computer Science or equivalent
- Can collaborate in scoping exercises
- Mentoring skills
- Have worked with both Linux and Windows environments.
- Unix/Linux
What will you get in this role?
You’ll give us your ideas and knowledge, and if we’re a good match we’ll back you up with a salary you can be proud of and amazing industry perks like daily lunch. On top of the perks, you’ll even get to work with the best talent the industry has to offer.
Benefits:
- Great career development opportunities
- 100% remote or hybrid working model
- International Health Insurance
- Health and Wellbeing Package (350 EUR per year)
- Birthday Day Off
- Me Time - 1 day off per year
- Lunches in the office for free
Interview Process
- Introduction Interview
- Technical Interview
- Technical Test
- Technical Test Presentation
- Offer
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About The Company
We are an award-winning iGaming platform and sportsbook provider supplying industry-leading solutions to our partners and their players. We specialise in helping online and land-based operators expand their iGaming and sports betting business on a global scale, focusing on innovation and customisation to power localised customer experiences and intimate user journeys. As a regulated markets specialist, we offer compliant entry into 36+ complex regulated markets around the world.
Our powerful iGaming platform is built to be scalable, open and user-centric, rapidly integrating with our partners' existing tech and preferred third parties. It provides a personalised user experience through our suite of real-time marketing tools, real-time data, and real-time rules engine, allowing our partners to build their own automated bespoke rules, without the need for coding knowledge.
Our sportsbook is built mobile-first and provides a premium player experience through our Bet builder, comprehensive Live betting capabilities and Player props. Our partners benefit from tailored odds, personalised margins, and risk management strategy, increasing the players’ personalised experience. Our partners benefit from an in-house trading team available 24/7 through direct communication channels, delivering unparalleled agility and service to all our partners, around the clock.
General enquiries: sales@gig.com
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