Senior Big Data Engineer

We are seeking a highly skilled Big Data Engineer with a strong background in data engineering, real-time streaming, and large-scale distributed data processing. The engineer will be a part of the team responsible for building critical risk and fraud detection applications. The ideal candidate will have expertise in big data technologies, real-time data pipelines, and experience developing solutions that enhance fraud prevention and risk mitigation in the payments domain.

Responsibilities:

• Design, develop, and implement scalable batch and real-time data processing systems for fraud detection and risk mitigation.
• Build and optimize real-time streaming data pipelines using Kafka, Spark Streaming, ELK, and related technologies.
• Develop ETL/ELT pipelines, including data quality checks, anomaly detection, and notification systems.
• Work with Hadoop, MapReduce, Hive, Spark, NoSQL, and relational databases (e.g., MySQL) to create data-driven solutions.
• Architect high-availability, low-latency, and strongly consistent distributed data processing systems.
• Collaborate with cross-functional teams to create fraud prevention and risk detection solutions that add business value.
• Follow Agile development methodologies, incorporating CI/CD best practices for continuous integration and delivery.
• Present complex data-driven insights in a clear and concise manner.

Requirements:

• Proven experience in big data engineering and data-driven business solutions.
• Strong background in Hadoop, Spark, MapReduce, Hive, and NoSQL databases.
• Hands-on experience in real-time data streaming using Kafka, Spark Streaming, and ELK.
• Expertise in ETL/ELT pipeline development, data quality checks, and anomaly detection.
• Experience building distributed data processing systems with high availability and low latency.
• Proficiency in Java or Python for data engineering and application development.
• Familiarity with Agile methodologies, CI/CD, and best development practices.
• Strong communication skills and ability to present complex ideas clearly.

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.

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