Junior Data Engineer

August 29

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Liven

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WE'RE HIRING! A full-stack customer engagement platform built for venues to cultivate their own community of super-fans

Payment • Rewards • Food & Beverage • Data • Finance

51 - 200

Description

• Join the revolution in hospitality tech! • Liven is a leading global data, technology, and customer experience provider for the hospitality industry. • This is a unique opportunity to gain hands-on experience with advanced tools and technologies, including Databricks and AWS, and to contribute to impactful projects from day one. • Assist in designing, developing, and maintaining ETL/ELT pipelines under the mentorship of the Senior Data Engineer. • Help automate data workflows and integrate multiple data sources to streamline data processes. • Support the management and optimization of our AWS infrastructure (S3, EC2, RDS, Redshift), ensuring secure and efficient data storage and retrieval. • Assist in managing Databricks clusters, optimizing Spark job performance, and troubleshooting issues to ensure smooth and reliable data processing. • Contribute to implementing data governance practices, ensuring high standards of data integrity, quality, and security across all platforms. • Work closely with data scientists, analysts, and other team members to provide clean, reliable data for machine learning models, analytics, and business reporting. • Help maintain clear and comprehensive documentation of data pipelines, architecture, and governance processes, supporting team understanding and collaboration.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience). • Familiarity with Databricks and AWS services (e.g., S3, EC2, Redshift), and experience with data tools like Spark. • Basic programming skills in Python or Scala, and a working knowledge of SQL. • Foundational understanding of data pipelines and ETL/ELT processes. • Strong analytical mindset with the ability to troubleshoot and resolve technical issues in data processing environments. • A proactive approach to learning new technologies and tools, particularly in big data, cloud infrastructure, and data governance. • Good to Have • Familiarity with BI tools such as Looker, PowerBI, or Tableau to support data visualization and reporting. • Experience working with data from POS systems or within the F&B or hospitality industries. • Basic understanding of version control systems like Git for managing code and collaboration. • Introductory-level certifications in AWS or Databricks, demonstrating foundational cloud skills.