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Data Engineer - Hotspex Media
Data Engineer
Design, build, and operate scalable data pipelines and storage solutions using Python, SQL, Airflow, Snowflake, and AWS to enable analytics and AI initiatives.
About the role
Key Responsibilities
- Design and implement end‑to‑end data pipelines that ingest, transform, and load data from multiple sources into the cloud data warehouse.
- Develop, schedule, and maintain workflow orchestration using Apache Airflow.
- Build and optimize data models in Snowflake to support reporting, analytics, and machine‑learning workloads.
- Collaborate with data scientists, analysts, and product teams to understand data requirements and ensure data quality and reliability.
- Monitor, troubleshoot, and improve performance of data pipelines and storage infrastructure on AWS.
Requirements
- 3+ years of hands‑on experience building data pipelines with Python and SQL.
- Proficiency with cloud platforms (AWS) and data warehousing solutions, preferably Snowflake.
- Experience using Apache Airflow or similar orchestration tools.
- Strong understanding of data modeling, ETL best practices, and data governance.
- Ability to work autonomously in a small, high‑autonomy team and communicate technical concepts clearly.
Skills
pythonsqlsnowflakeaws