Senior Big Data Engineer (Java/Spark)

Grid Dynamics; Województwo pomorskie; On-site; PLN 60,000 - 80,000; Full time

Benefits offered by this job

Medical insurance

Sports benefits

Corporate social events

Professional development opportunities

Flexible schedule

Job summary

Grid Dynamics in Poland seeks a Streaming Data Processing Engineer to design, develop, and maintain pipelines for video quality analytics. The role demands strong experience in streaming data processing, particularly with Java and Apache Flink. Successful candidates will work on high-volume streaming data and collaborate with international teams. The position includes a competitive salary, flexible schedule, and a comprehensive benefits package, including medical insurance and professional development opportunities.

Qualifications

• Strong experience in streaming data processing is essential.
• Hands-on experience with Java and Apache Flink is required.
• Familiarity with big data technologies such as Spark and HDFS is a plus.

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.

Skills

Streaming data processing

Java

Apache Flink

Big data technologies

Distributed systems

English Communication

Tools

Apache Spark

HDFS

Job description

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 8:00 PM CET

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.