Senior Data Engineer

Build and maintain scalable ETL pipelines using AWS Glue, Spark, and Athena to process data. Develop and manage daily data quality checks, including SQL validations and threshold-based alerts. Investigate data anomalies and resolve issues before they affect downstream systems. Support data product certification by validating outputs and ensuring they meet quality standards.

Strong proficiency in SQL, including window functions and Athena-specific query patterns. Experience with Python for scripting and automation. Hands-on experience with AWS data services, particularly Glue, Athena, and EMR. Strong understanding of data quality and experience validating data pipelines.

The company offers learning opportunities including certifications in AWS, Databricks, and Snowflake. There are travel opportunities to attend industry conferences and flexible working options to help you strike the right balance.