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.
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
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.Apply to the position
Information on personal data processing
You cannot apply for a position without accepting “INFORMATION ON PERSONAL DATA PROCESSING”
Applications for this job are no longer accepted. Please explore other open opportunities on our platform.
Thank you!
You applied for the position Big Data Engineer successfully. We will get back to you soon. Have a great day!
Something went wrong...
There are possible difficulties with connection or other issues. Please try to use another browser (it's recommended to use the latest version of Google Chrome browser). If the problem still persists, please send your application to cv@griddynamics.com
RetrySomething went wrong...
Please double-check the information filled in the form, and make sure to provide valid data.
RetryDon’t see the right opportunity?
Contact us anyway and let’s talk! To apply, send your resume and cover letter to jobs@griddynamics.com
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, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.
Get in touch
Let's connect! How can we reach you?
Thank you!
It is very important to be in touch with you.
We will get back to you soon. Have a great day!
Something went wrong...
There are possible difficulties with connection or other issues.
Please try again after some time.