Grid Dynamics International, Inc.
Big Data Engineer
Grid Dynamics International, Inc., San Ramon, California, United States, 94583
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. Essential functions 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. Qualifications 5+ years 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 Benefits package - medical insurance, sports Corporate social events 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. Apply to the position
Country of application* Resume* Social profile First name* Last name* E-mail* Phone City of application* Consent to the processing of personal data in future recruitment processes* I hereby give my consent to the Grid Dynamics Group to process my personal data contained in the application documents for the purpose of using my application in future recruitment processes. Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process. All qualified applicants will receive consideration for employment without regard to age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability, or any other protected category. Employment decisions are based on qualifications, merit, and business need. #J-18808-Ljbffr
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. Essential functions 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. Qualifications 5+ years 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 Benefits package - medical insurance, sports Corporate social events 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. Apply to the position
Country of application* Resume* Social profile First name* Last name* E-mail* Phone City of application* Consent to the processing of personal data in future recruitment processes* I hereby give my consent to the Grid Dynamics Group to process my personal data contained in the application documents for the purpose of using my application in future recruitment processes. Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process. All qualified applicants will receive consideration for employment without regard to age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability, or any other protected category. Employment decisions are based on qualifications, merit, and business need. #J-18808-Ljbffr