Staff Data Developer

4 days ago

Montreal, Quebec, Canada OXIO Full time
About OXIO

OXIO is a pioneering telecom-as-a-service (TaaS) platform that is revolutionizing the way brands and enterprises manage their mobile networks. Our mission is to democratize telecom and make it easily accessible for businesses to own and operate proprietary mobile networks that cater to their customers' needs.

Our Data Team

The Data team at OXIO plays a critical role in powering data-driven decision-making across the organization. We are responsible for building a solid data foundation and ensuring that every area of the business has access to reliable data. Our team owns the data pipelines and tools that provide secure, reliable, and accessible data, enabling team members to derive actionable insights.

Job Summary

We are seeking a highly experienced and talented Staff Data Engineer to join our small but growing Data team. As a Staff Data Engineer, you will play a critical role in designing and executing a robust and forward-looking data strategy for the company. You will work directly with our Data, Engineering, Operations, Data Science, Go-to-Market, and Finance teams to support the organization's data processing and analytics needs.

Key Responsibilities
  • Design and implement scalable 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 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.
Key Qualifications
  • 10+ years of 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 with 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.
Nice To Haves
  • Experience building streaming applications or pipelines using async messaging services or distributed streaming platforms like Apache Kafka.
  • Knowledge of Airflow or some other orchestration tool.
  • Experience with Spark or PySpark.
  • Hands-on experience with event-driven architecture and streaming data processing frameworks like Kafka, Spark, Flink.
  • Experience with time-series databases like Clickhouse, InfluxDB.
What We Offer
  • 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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