Lead data platform and pipeline, data strategy, and data visualization-related efforts
Manage projects from requirements gathering to implementation of full-stack data solutions
Work closely with cross-functional partners to ensure business logic representation
Partner with Product stakeholders to build advanced analytical solutions
Build understanding of digital streaming service and optimize technical ecosystem
Propose and seek to establish best practices
Design and implement data models supporting flexible querying and data visualization
Create systematic solutions for solving data anomalies

Bachelor's, Master's, or higher degree in Computer Science, Data Science, Engineering, Mathematics, Statistics
9–13 years of experience in Analytics Engineering, Data Engineering, Business Intelligence, Data Platform Engineering, or related domains
Proven track record of architecting, scaling, and operating enterprise-grade data platforms
Deep expertise in transforming complex, incomplete, and evolving data sources into trusted datasets
Extensive experience designing, building, and optimizing large-scale ETL/ELT pipelines
Strong programming expertise in Python and/or Go
Strong understanding of modern application architectures
Expertise in data modeling, data architecture, and performance optimization
Hands-on experience with modern data and streaming technologies
Advanced proficiency in semantic modeling and analytics enablement
Strong expertise in cloud-native infrastructure and Infrastructure-as-Code

Staff Analytics Engineer

Key skills