Senior Big Data Engineer (Java/Spark)

You will join a Video Service Quality team within a large-scale media streaming organization. The team focuses on building tools and platforms for monitoring, analyzing, and improving video streaming quality.

The project involves processing high-volume streaming data and developing analytics solutions that help ensure seamless video delivery and user experience. You will work on data aggregation pipelines and real-time processing systems that power quality insights for a global video platform.

Responsibilities

• Design, develop, and maintain streaming data processing pipelines
• Work with real-time and batch data using technologies like Java, Flink, and Spark
• Build scalable solutions for data aggregation and analytics related to video streaming quality
• Collaborate with cross-functional teams to improve monitoring and quality metrics
• Participate in system design discussions and contribute to architectural decisions
• Ensure reliability, performance, and scalability of data processing systems
• Analyze large datasets to identify patterns and optimize streaming performance
  
  

Requirements

• Strong experience in streaming data processing (must-have)
• Solid hands-on experience with Java and Apache Flink
• Experience working with big data technologies (e.g., Spark, HDFS)
• Good understanding of distributed systems and data pipelines
• Intermediate+ spoken English (for communication with international teams)
• Readiness to join evening calls until 9:00 PM EEST
  
  

Nice to have

• Solution design
• Ability to work self-sufficiently with minimal supervision
  
  

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.