Senior Big Data Engineer
Location: Remote from Spain
Employment Type: Full-Time Contractor
About the Project
Join the Media Products Analytics Engineering division focused on building platforms and tools to manage and process terabytes of data for both internal and external stakeholders. Our team is responsible for developing robust data infrastructure and high-performance pipelines that power critical media analytics and projection datasets.
About the Role
We’re looking for a Senior Big Data Engineer who can work independently and proactively to design, implement, and maintain scalable data processing pipelines. You will contribute to a high-performing team that owns infrastructure critical to analytics, modeling, and media performance reporting.
Essential functions
Design and develop large-scale data pipelines and infrastructure to process high-volume datasets
Build and maintain scalable, production-grade ETL/ELT workflows using Apache Spark, Scala, and SQL
Work with distributed file systems (HDFS) and optimize data processing performance
Write and test reusable and reliable code using functional programming libraries like Cats and fs2
Develop and test solutions in containerized environments (e.g., Docker, Kubernetes)
Collaborate with analysts, platform teams, and product stakeholders to deliver data-driven solutions
Take ownership of services with minimal supervision, demonstrating initiative and autonomy
Qualifications
Strong programming experience with Scala and distributed data frameworks like Apache Spark
Proficiency in SQL and experience handling large datasets in HDFS environments
Working knowledge of Python for scripting and data manipulation tasks
Hands-on experience developing and testing in Docker and/or Kubernetes environments
Familiarity with Cats, fs2, or other advanced Scala functional programming libraries
Ability to work autonomously in a dynamic, fast-paced environment and take full ownership of projects
We offer
Opportunity to work on bleeding-edge projects
Work with a highly motivated and dedicated team
Competitive salary
Flexible schedule
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.Apply to the position
Thank you!
You applied for the position Senior 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.