remote
Analytics Data Engineer - US Mobile
Data Engineer
Design and maintain scalable analytics pipelines using Python, SQL, and cloud services (AWS, Snowflake). Build ETL workflows with Airflow, model data for real‑time insights, and support product decisions through robust data infrastructure.
About the role
Key Responsibilities
- Develop, test, and deploy end‑to‑end data pipelines that ingest, transform, and store large volumes of customer and network data.
- Design and maintain data models in Snowflake to enable self‑service analytics and reporting.
- Orchestrate workflows with Apache Airflow, ensuring reliability, monitoring, and alerting for critical pipelines.
- Collaborate with product, analytics, and engineering teams to translate business requirements into scalable data solutions.
- Implement best practices for data quality, security, and performance on AWS infrastructure.
Requirements
- 3+ years of experience building data pipelines using Python and SQL.
- Hands‑on experience with AWS services (S3, Redshift, Lambda, Glue) and Snowflake.
- Proficiency with workflow orchestration tools such as Apache Airflow.
- Strong understanding of ETL/ELT processes, data modeling, and data warehousing concepts.
- Ability to work cross‑functionally, communicate technical concepts clearly, and prioritize tasks in a fast‑moving environment.
Skills
pythonsqlawssnowflakeairflow