Senior Big Data Engineer

Various worksites—job may allow for remote work; job may involve relocation to anticipated or unanticipated locations across the United States, including client sites and Grid Dynamics’ offices throughout the United States and/or company headquarters located in San Ramon, CA.

We are actively looking for a Senior Big Data Engineer with excellent technical expertise who is interested in joining our growing team. Join our bright engineering team with open communication, empowerment, innovation, and customer-centric culture.

Essential functions

·      Develop and maintain scalable, cloud-native data processing solutions using Scala, Python, and Apache Spark.

·      Design and implement distributed computing pipelines optimized for handling multi-terabyte datasets.

·      Build and manage large-scale data systems using Apache Iceberg tables on Amazon Web Services (AWS) cloud infrastructure.

·      Optimize Spark applications and distributed workflows to maximize performance, reliability, and cost-efficiency in a cloud environment.

·      Architect and deliver end-to-end solutions tailored for cloud-native ecosystems with a focus on scalability, maintainability, and performance.

·      Perform system design, development, and optimization of data pipelines, ensuring best practices in distributed data processing.

·      Various worksites—job may allow for remote work, job may involve relocation to anticipated or unanticipated locations across the United States, including client sites and Grid Dynamics’ offices throughout the United States and/or company headquarters located in San Ramon, CA.

Qualifications

·      Master of Science degree in Applied Computer Science, Computer Science, Data Science, Computer Engineering, or a closely related field.

·      At least ONE (1) year of experience in the job offered or at least ONE (1) year of experience in the following:

1.     Data modeling and data transformation techniques for analytics and data processing

2.     Debugging and performance optimization of distributed data applications

3.     Programming languages: Scala, Python

4.     Apache Spark for large-scale data processing

5.     SQL and NoSQL databases for scalable data storage and retrieval

6.     Airflow for data pipelines and workflow management

7.     HDFS for storing large-scale data

8.     Docker for containerization & orchestration

9.     Apache Iceberg

We offer

·      Opportunity to work on bleeding-edge projects

·      Wage range: $140,000.00-$160,000.00 per year. 

·      Work with a highly motivated and dedicated team

·      Competitive salary

·      Flexible schedule

·      Medical insurance

·      Benefits program

·      Social package - medical insurance, sports

·      Corporate social events

·      Professional development opportunities

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.