Data Engineer

AVAILABLE POSITIONS Data Engineer

About Us

mavens (formerly Storemaven) is a data technology company that aims to empower people with the tools, skills, and confidence they need to understand the world at their fingertips. Our goal is to tackle all the complex and unsolved areas of mobile publishing with innovative tools, accessible data, and scalable processes.

We’re a group of authentic, curious, intelligent, and playful problem-solvers who enjoy succeeding together. Founded in 2015 and operating as a bootstrap startup for seven years, mavens (previously Storemaven) was acquired in 2022 by mega mobile publisher Zynga/TakeTwo Inc to bring our maveness to the next level.

About the role

We’re looking for an experienced and talented Data Engineer to take part in our data challenges and take a critical part in our data engineering process & execution across company products.

At mavens (A Zynga/T2 company) we strive to make data accessible and insightful so our customers can make smart, data-driven decisions. Our main challenge is understanding our client’s motivations and goals so we can deliver powerful and intuitive tools without compromising user experience.

As a Data Engineer in the mavens, you will maintain optimized and highly available data pipelines that facilitate deeper analysis by different departments in the company. The Data Engineer builds data processing procedures that handle the business’s growing database. The Data stack is very vast and can be delivered from multiple App Store Optimization data sources such as Google, Apple, App intelligence platforms, Attribution platforms, etc.

Responsibilities

• Building and maintaining highly available data pipelines & ETLs.
• Monitoring and maintaining several databases 
• Create data monitoring tests and alerts. 
• Design and implement day-to-day data solutions.
• Provide data analytics to internal ‘customers’ cross-company.

Requirements

• 4+ years of Data Engineering experience
• 3+ years of experience as a DBA
• 5+ years of Python experience
• Full proficient in SQL
• Experience in Database design and performance optimization
• Work in cloud environment
• 2+ Airflow and Kubernetes experience

Nice to have

• GCP data stack
• Experience working with Airflow 
• Experience working with dockers and Kubernetes