Senior Data Engineer (Python + Spark)
We're looking for a Senior Data Engineer with strong Python skills and hands-on Spark infrastructure experience to help run and evolve our data platform operations. You'll partner closely with engineers across the team and with Data Scientists, providing support and building processes that keep our large-scale data infrastructure running smoothly and reliably. This role is ideal for someone who enjoys owning platform reliability end-to-end - from pipeline design to production observability.
Essential functions
- Partner with engineers across the team to operate and evolve the data platform
- Work closely with Data Scientists, providing technical support and ensuring smooth day-to-day operations
- Build, maintain, and improve CI/CD pipelines for data workflows
- Manage and optimize Spark infrastructure supporting a high volume of jobs
- Manage Kubernetes resources for on-prem workloads
- Implement and maintain authentication and data governance practices
- Handle file compaction and maintenance across HDFS and object stores
- Design and maintain partitioning strategies, schemas, and type-safe data models using table formats like Iceberg/Hive
- Set up and maintain observability tooling (Prometheus, Grafana, OpenTelemetry) and participate in on-call rotations
- Collaborate cross-functionally as a strong team player across engineering and data science teams
Qualifications
- Strong hands-on expertise with CI/CD pipelines
- Solid experience with Spark infrastructure at scale
- Background in distributed systems
- Experience managing Kubernetes resources
- Practical knowledge of authentication and data governance principles
- Familiarity with file compaction and maintenance on HDFS or object stores
- Strong grasp of data engineering fundamentals: partitioning, schema design, type safety, and table formats (Iceberg, Hive)
- Experience with observability and on-call practices, using tools like Prometheus, Grafana, and OpenTelemetry, including alerting setup
- Proficiency in Python and Airflow
- Experience with Kubernetes (on-prem) and Docker
- Familiarity with Trino/Presto
- Strong communicator and collaborator, comfortable working cross-functionally
Would be a plus
- Experience with Scala
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.
