Service Engineer
Core
Design, develop, and maintain scalable data pipelines, transformations, and data models to convert complex data into trusted datasets for analytics, reporting, and operational insights.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, ETL/ELT processes, data models, and enterprise analytics solutions
Domain
Data Engineering / Cloud Data Platforms
Deliverable
production ML models | product features
Required skills
SQL, Python, PySpark, Spark SQL, distributed data processing, data modeling, ETL/ELT pipeline development, CI/CD, automated testing, monitoring, data quality management, DevOps methodologies
Preferred skills
Experience with modern data engineering technologies, cloud-based data platforms, source control
Technologies
Spark, Python, PySpark, Scala, data warehouses, cloud-based data platforms
Responsibilities
Design and develop scalable data pipelines and transformations; Implement data quality, monitoring, and reliability practices; Partner with stakeholders to translate business requirements into technical solutions; Contribute to data platform capabilities including deployment processes and metadata management; Support live-site operations by investigating data issues and implementing corrective actions; Collaborate across teams to improve engineering standards and drive adoption of modern capabilities
Seniority
Senior, hands-on IC
