Join a high-impact project powering one of the most visited platforms in the world — a trusted App Store that connects millions of users with innovative applications. Our team is building scalable, data-intensive services to support analytics and insights across massive volumes of user interaction data.

You'll be working on a cloud-native, distributed architecture, leveraging modern data processing tools and best practices in batch and streaming data.

Responsibilities

• Design and implement high-performance, large-scale data pipelines
• Work with Apache Druid and Spark to process and analyze data in near real-time
• Build and maintain Airflow workflows for orchestrating complex ETL processes
• Collaborate with backend engineers, data scientists, and product stakeholders
• Optimize OLAP processing for analytical workloads
• Ensure scalability, reliability, and observability of all data flows
  
  

Requirements

• Strong hands-on experience with Apache Druid, Apache Spark, and Airflow
• Proven track record with OLAP systems and data-intensive applications
• Solid experience with NoSQL databases
• Experience building and maintaining streaming and batch data processing systems
• Hands-on cloud experience (AWS preferred)
• Knowledge of Docker and Kubernetes
  
  

Nice to have

• Production experience with Snowflake
• Familiarity with Hadoop and its ecosystem
  
  

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office
  
  

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.