remote
Data Engineer - Gold Group
Data Engineer
Remote Data Engineer with 4+ years of experience designing, building, and maintaining scalable data pipelines using Python, SQL, Airflow, and cloud data warehouses such as Snowflake on AWS.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL pipelines to ingest, transform, and load data from multiple sources.
- Implement workflow orchestration using Apache Airflow to ensure reliable, scheduled data processing.
- Build and optimise data models in Snowflake, supporting analytics and reporting needs.
- Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver performant data solutions.
- Monitor pipeline performance, troubleshoot issues, and apply best practices for data quality and security in an AWS environment.
Requirements
- 4+ years of professional experience as a Data Engineer in fast‑paced, data‑driven organisations.
- Strong proficiency in Python and SQL for data manipulation and scripting.
- Hands‑on experience with Apache Airflow for workflow orchestration.
- Experience designing and managing data warehouses on Snowflake (or similar cloud platforms).
- Solid understanding of AWS services (e.g., S3, Redshift, Lambda) and best practices for cloud‑based data engineering.
Skills
pythonsqlsnowflakeaws