Description

You will design, build, and operate highly scalable systems for a cloud-native data platform processing billions of records daily.

Responsibilities

• Design and implement flexible systems to manage large-scale, complex data pipelines.
• Leverage cloud computing architectures to support development and operational needs.
• Research, prototype, and integrate new technologies into existing pipelines.
• Develop tools to monitor, analyze, and improve data operation, performance, and usability.
• Partner with Engineering Leaders, Architects, and Product Managers to deliver technical solutions aligned with the product roadmap.

Required Skills

• 7+ years of software engineering experience focused on data platforms or big data software.
• Strong experience with Java, Scala, or Python.
• Hands-on experience with streaming and data processing technologies including Beam, Spark, Kafka, Airflow, HBase, or Presto.
• Proven track record of building enterprise-grade software in GCP or AWS environments.
• Deep understanding of cloud services such as GCS/S3, Dataflow/Glue, Dataproc/EMR, Cloud Function/Lambda, BigQuery/Athena, or BigTable/Dynamo.
• Experience with system architecture, design, and managing data at scale.
• Proficiency in SQL and performance optimization.
• Experience managing workloads using Kubernetes (GKE/EKS).
• Familiarity with designing CI/CD pipelines using Jenkins, GitHub Actions, or similar tools.

Key Skills

Education

ANY GRADUATE