Big Data Developer

Big Data DeveLoper

Responsibilities

• 
  Design and implement data pipelines for migration from HDFS/Hive to cloud object storage (e.g., S3, Ceph).

• Optimize Spark (and optionally Flink) jobs for performance and scalability in a Kubernetes environment.

• Ensure data consistency, schema evolution, and governance with Apache Iceberg or equivalent table formats.

• Support migration strategy definition by providing technical input and identifying risks.

• Mentor junior developers and review their code / design decisions.

• Collaborate with platform engineers, cloud architects, and product stakeholders to align technical implementation with project goals.

• Troubleshoot complex distributed system issues in data pipelines or storage integration.

Requirements

• 
  Experience 7 to 15 Years

• Scala and Python

• Apache Spark (batch & streaming) – must!

• Deep knowledge of HDFS internals and migration strategies.

• Experience with Apache Iceberg (or similar table formats like Delta Lake / Apache Hudi) for schema evolution, ACID transactions, and time travel.

• Running Spark and/or Flink jobs on Kubernetes (e.g., Spark-on-K8s operator, Flink-on-K8s).

• Experience with distributed blob storages like Ceph or AWS S3 and similar

• Building ingestion, transformation, and enrichment pipelines for large-scale datasets.

• Infrastructure-as-Code (Terraform, Helm) for provisioning data infrastructure.

• Ability to work independently while guiding juniors.

Nice to have

• 
  Experience with Apache Flink

• Prior experience in migration projects or large-scale data platform modernization.

• Apple experience preferred (to enable him/her to get up to speed on our tooling set quickly and more independently)

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.