Staff Data Engineer

About the Company

OXIO is the world’s first telecom-as-a-service (TaaS) platform. We are democratizing telecom and making it easily accessible for brands and enterprises to fully own and operate proprietary mobile networks designed to support their own customers needs.

Responsibilities

• Help build, maintain, and scale data pipelines that integrate data from various internal and external systems into the data warehouse
• Partner with internal stakeholders to understand analysis needs and consumption patterns
• Partner with upstream engineering teams to enhance data logging patterns and best practices
• Participate in architectural decisions to plan for scaling data needs
• Adopt and evangelize data engineering best practices for data processing, modeling, and lake/warehouse development
• Advise engineers and cross-functional partners on efficient use of data tools

Requirements

• 7+ years of experience building large scale data platforms
• Experience in Data Engineering or Analytics Engineering building scalable data warehouses
• Proficiency with Dimensional Modeling (Star Schema, Kimball, Inmon) and Data architecture concepts
• Advanced SQL skills including window functions and UDFs
• Experience with Python and Spark for building ETL/ELT processes
• Experience with dbt and Snowflake, BigQuery, or Redshift
• Experience implementing real-time and batch data pipelines with tight SLOs
• Proficiency with AWS cloud
• Familiarity with infrastructure tooling such as Terraform/Pulumi and Kubernetes

Preferred Qualifications

• Experience building streaming applications using Apache Kafka
• Knowledge of Airflow or other orchestration tools
• Experience with event-driven architecture and streaming frameworks like Flink
• Experience with time-series databases like Clickhouse or InfluxDB