Senior Data Platform Engineer

Job summary

The role involves building and maintaining a self-service analytical data platform, focusing on real-time data ingestion and ensuring the reliability of data operations.

Qualifications

• Senior-level experience in data engineering, particularly with platform-level systems.
• Proficiency in stream data processing using technologies such as Flink or Spark.
• Familiarity with cloud infrastructure (AWS, GCP, etc.) and making architectural decisions.
• Programming skills in Golang, Scala, or Python, along with strong SQL capabilities.
• Ability to collaborate with non-engineering stakeholders to translate technical capabilities into usable solutions.

Responsibilities

Benefits and perks

• Develop product-grade Flink streaming ingestion pipelines using advanced streamhouse technologies.
• Manage end-to-end projects that enhance the data stack, from ingestion to the data warehouse.
• Ensure the daily operations of the data warehouse are consistent and reliable.
• Provision cloud infrastructure using Terraform and manage services in Kubernetes.
• Assist business stakeholders with data requests and implement workflows to scale impact.
• In-office work four days a week to foster collaboration.
• Access to state-of-the-art equipment for optimal performance.
• Comprehensive benefits including pension, health insurance, and enhanced parental leave.