Big Data Developer

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.

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.

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)