Staff Data Engineer

April 26

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OXIO

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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.

Requirements

• Have 10+ years experience building large scale data platforms • Experience in Data Engineering, and/or Analytics Engineering, building scalable data warehouses • Proficient with Dimensional Modeling (Star Schema, Kimball, Inmon) and Data architecture concepts, able to coach and influence others to up-level the craft of Data Engineering • Fantastic collaboration and communication skills, demonstrated by successful large-scale projects spanning multiple teams • Advanced SQL skills (ease with window functions, defining UDFs) • Experienced with Python, Spark for building and maintaining data pipelines & ETL/ELT processes • Experienced working with dbt and Snowflake, BigQuery, Redshift or other data warehouses • Experience implementing real-time and batch data pipelines with tight SLOs and complex transformation requirements • Develop data models, schemas and standards for event data • Optimize data storage and access patterns for fast querying • Improve data reliability, discoverability and observability • Familiarity to Data Engineering tooling: ingesting, testing transformations, lineage, orchestration, publishing data, metric layers • Familiarity with storage layers like Hudi, Delta Lake and Iceberg • Aptitude for product analysis, dashboarding, and reporting • Familiarity with infrastructure tooling such as Terraform/Pulumi and worked with Kubernetes • Proficiency with AWS cloud

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