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
August 29
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
• Join the revolution in hospitality tech at Liven. • Manage and optimize data infrastructure within Databricks and AWS environments. • Lead the management of our Databricks platform, including cluster setup, Spark job execution, and performance optimization. • Architect and automate ETL/ELT pipelines using best practices in CI/CD. • Oversee the use of AWS services, such as S3, EC2, RDS, Redshift, and Glue. • Implement Lakehouse and Medallion architectures to optimize data workflows. • Establish data governance frameworks and ensure data quality, security, and compliance. • Partner with data science and analytics teams.
• 5+ years in data engineering with demonstrated expertise in Databricks (mandatory). • Advanced skills in Python, Scala, SQL, and big data tools like Spark and Kafka. • Strong understanding of CI/CD practices for data pipelines. • Proven experience with Lakehouse and Medallion architectures, supporting machine learning, analytics, and reporting needs. • Skilled in transforming raw data into actionable datasets, with experience using BI tools such as Looker, PowerBI, or Tableau. • Strong leadership skills, with the ability to lead projects from concept to delivery, mentor junior engineers, and collaborate across teams in an agile environment.
Apply NowAugust 27
201 - 500
Develop and maintain software systems for analyzing medical data to drive healthcare improvements.
August 27
201 - 500
Develop software systems to analyze medical data, supporting healthcare improvements.
August 24
1001 - 5000
Contribute to projects leveraging data analytics for transformative client solutions.
August 21
5001 - 10000
Manage and optimize big data pipelines using Azure technologies.