OXIO
The top Telecom-as-a-Service Platform in the world
mobile data • telecom • connectivity • IoT • business intelligence
51 - 200
Staff Data Developer
August 28
🏡 Remote – Anywhere in California
OXIO
The top Telecom-as-a-Service Platform in the world
mobile data • telecom • connectivity • IoT • business intelligence
51 - 200
Description
• Help build, maintain, and scale our data pipelines that bring together data from various internal and external systems into our 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 and help us plan for the company’s data needs as we scale. • Adopt and evangelize data engineering best practices for data processing, modeling, and lake/warehouse development. • Advise engineers and other cross-functional partners on how to most efficiently use our data tools. • Develop data solutions through hands-on coding.
Requirements
• 10+ years experience as a data engineer and/or analytics engineer building large scale data platforms and scalable data warehouses. • 5+ years of hands-on experience coding in Python or Spark for building and maintaining data pipelines. • 5+ years of experience working with AWS cloud, dbt and Snowflake, Databricks, BigQuery, Redshift or other data warehouses • Proficient with Dimensional Modeling (Star Schema, Kimball, Inmon) and Data Architecture concepts. • Advanced SQL skills (ease with window functions, defining UDFs) • Experience in implementing real-time and batch data pipelines with strict SLOs, and optimizing data storage and access patterns. • Proven track record of enhancing data reliability, discoverability, and observability. • Has good understanding of working with storage layers like Hudi, Delta Lake or Iceberg • Aptitude for product analysis, dashboarding, and reporting • Demonstrated success in leading large-scale projects across teams and mentoring others in Data Engineering best practices.
Benefits
• Competitive salary and stock option incentive program • Company contribution towards comprehensive benefit packages • Flexible work arrangements • Company sponsored team-lunches and company retreats • International organization that enables you to work across boundaries, travel to different locations and enjoy the dynamics of a rapidly growing startup • The opportunity to work with a talented and supportive team • A diverse and inclusive team
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