Senior Big Data Engineer (Java/Spark)

Grid Dynamics; Wrocław; Sur place; PLN 100 000 - 140 000; Plein temps

Avantages offerts par ce poste

Medical insurance

Flexible schedule

Corporate social events

Professional development opportunities

Résumé du poste

Grid Dynamics is looking for a skilled engineer in Wrocław, Poland, to join their Video Service Quality team. You will be responsible for designing, developing, and maintaining data processing pipelines for video streaming quality, utilizing technologies such as Java and Apache Flink. Ideal candidates will have strong experience in streaming data processing and big data technologies, along with a collaborative mindset for improving analytics solutions. The role includes flexible scheduling and competitive salaries, with excellent benefits including medical insurance and professional development opportunities.

Qualifications

• Strong experience in streaming data processing is essential.
• Solid hands-on experience with Java and Apache Flink.
• Experience with big data technologies like Spark and HDFS.

Responsabilités

• Design, develop, and maintain streaming data processing pipelines.
• Work with real-time and batch data using Java, Flink, and Spark.
• Collaborate with cross-functional teams to improve monitoring and quality metrics.

Connaissances

Streaming data processing

Java

Apache Flink

Big data technologies

Distributed systems

English

Outils

Spark

HDFS

Description du poste

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.