Senior Data Engineer
Senior Data Engineer
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Job Description
ABOUT US
Were like-minded curious excitable people here at Chiliz who work well in teams spread across the globe. Chiliz is a global blockchain company which powers - the creators of Fan Tokens and the popular fan rewards platform.
Socios has partnered with some of the worlds best teams including Paris Saint-Germain Juventus FC Barcelona Atltico de Madrid UFC Galatasaray Manchester City FC and many more.
The curious nature of a Chilizen is what drives this company forward and since were looking to grow even more apply for your dream role today.
OUR BRANDS & CHANNELS
We are building the web3 infrastructure for sports & entertainment!
Founded in 2018 Chiliz is a blockchain provider focused on the sports and entertainment industry. We build scalable secure blockchain-enabled solutions that supercharge fan experiences using digital assets.
$CHZ is the native digital token for the Chiliz sports & entertainment ecosystem currently powering and the Chiliz Chain blockchain.
is a fan engagement and rewards app that allows fans to engage with their favourite teams and clubs through digital assets known as Fan Tokens.
THE ROLE
The Senior Data Engineer will play a key role in designing developing and maintaining our data infrastructure enabling the organisation to extract valuable insights from diverse datasets. The candidate will collaborate with cross-functional teams including data scientists analysts and business stakeholders to ensure the seamless flow of data and facilitate data-driven decision-making.
Duties and Responsibilities:
- Implement scalable data lake/lakehouse solution on AWS.
- Design and implement big data pipelines using batch and streaming tools.
- Develop data modelling workflows with DBT.
- Orchestrate workflows with Airflow.
- Collaborate with global teams to ensure data governance standards are met.
- Build and deploy end-to-end CI/CD pipelines incorporating DevOps best practices.
Requirements
- 3 years experience in a similar role.
- Bachelors degree or higher in a quantitative/technical field (e.g. Computer Science Engineering or similar).
- Great at communicating ideas and working in a team.
- Solid proficiency experience with Python to develop data ingestion pipelines.
- Advanced knowledge of REST APIs and Websockets.
- Experience with Delta Lake infrastructures and large datasets processing with Apache Spark / PySpark.
- AWS experience preferred with proficiency in a wide range of AWS services (e.g. EC2 S3 Glue Fargate Lambda IAM EMR Kinesis)
- Working knowledge of DBT for Data Modeling.
- Expert knowledge of SQL and experience in using cloud-based DWH such as Redshift/Snowflake/Google Big Query.
- Knowledge designing CI/CD pipelines and IaC experience Terraform preferred.
- Experience with building data pipeline processes and orchestration tools such as Airflow.
- Good understanding of cloud infrastructure platforms.
- Self-starter and detail-oriented. You can complete projects with minimal supervision.
What We Offer
We offer you the chance to grow to learn to flex your creative muscles and to work on a project that is providing excitement to thousands of users.
Our interview phase is a 3-step process where youll be able to ask us anything and get to know your team too. From HR right through to your team lead we need this process to work both ways: Its not just about you fitting in but about us being the right fit for you too.
Are you ready to work with the worlds best teams Are you happy to try fail and bounce back Are you excited to keep pushing the boundaries of technology
Weve got offices across the world over 30 nationalities in our ranks and the most important superpower of all - flexibility. Our competitive salaries wellness allowance healthcare and pension plan are just the tip of the iceberg. Youll gain friends experience and a good challenge well gain you.
Are you ready
Employment Type
Full Time
