Data Engineer
The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Middle/Senior Data Engineer.
About the client:
Our expertise and capabilities enable producers and other creatives to bring their visions to life and create unforgettable performances for audiences, presented in our landmark venues and delivered with exceptional hospitality. It is the passion of our teams, that cover every discipline across the live entertainment industry, that underpins our continuing strategic growth and success.
People are at the heart of our success. We are passionate about bringing great live experiences to the widest possible audience; about giving the world’s best creative talent the stage it deserves; and about providing our people and partners with opportunities to realise their full potential.
Requirements:
- 5+ years of experience as a Data Engineer (preferably 5-10 years or more);
- Hands-on experience with Snowflake;
- Strong expertise in SQL for complex data manipulation, transformation, and analysis;
- Proficiency in Python for scripting and custom data ingestion;
- Experience in data modeling, ELT development, and data warehousing techniques;
- Hands-on experience with Git and GitHub Pull Requests;
- Experience in supporting QA and User Acceptance Testing processes;
- Upper-Intermediate English level.
Will be a plus:
- Experience with GitHub Actions;
- Knowledge of Fivetran;
- Experience with AWS cloud services (Lambda, S3, ECS);
- Familiarity with Power BI;
- Experience with Microsoft SQL Server and SSIS;
- Understanding of Azure Data Factory and Logic Apps;
- Knowledge of data protection laws such as GDPR, CCPA, SOX;
- Experience in the entertainment or ticketing industry.
Responsibilities:
- Design, implement, test, deploy, and maintain scalable data management systems;
- Develop data processing pipelines in Snowflake, ensuring stability and efficiency;
- Collaborate with the Enterprise Data Architect and Business Analysts to automate data collection processes;
- Develop and maintain clear technical documentation;
- Monitor data quality to ensure accurate and reliable production data;
Improve data reliability, efficiency, and quality through process optimization.
Our perks
- Covered vacation period: 20 business days and 5 days off
- Free English classes
- Flexible working schedule
- Truly friendly and supporting atmosphere
- Working remotely or in one of our offices
- Medical insurance for employees from Ukraine
- Compensation of psychological counseling
- Legal support
- Relocation assistance