Data Engineer

We are looking for a highly skilled Data Engineer to join our data team and play a key role in building scalable, reliable, and impactful data solutions. This role involves owning end-to-end data workflows, shaping data models, and enabling data-driven decision-making across product, growth, and monetization teams.

Responsibilities

• Design, build, and maintain robust ETL pipelines to process large-scale data from multiple sources
• Develop scalable data models to support product analytics and business reporting
• Collaborate with product managers, analysts, and engineering teams to translate business needs into data solutions
• Ensure data quality, integrity, and consistency through validation frameworks and monitoring systems
• Optimize data pipelines and queries for performance and cost efficiency
• Lead data initiatives end-to-end, from requirements gathering to production deployment
• Contribute to best practices in data engineering, modeling, and system architecture

Requirements

• 5+ years of experience in Data Engineering
• Strong SQL skills with deep understanding of complex transformations and performance tuning
• Experience with modern data stack tools (e.g., BigQuery, Snowflake, Airflow, dbt)
• Solid understanding of data modeling and data architecture
• Hands-on experience with cloud platforms such as AWS or GCP
• Experience working with backend systems and distributed architectures
• Strong problem-solving skills with the ability to independently drive projects

Advantages

• Experience in mobile app analytics or ad-tech environments
• Background as a backend or cloud engineer