We're looking for a Middle Data Engineer to join our growing data team and contribute to building a modern, scalable data platform. In this role, you will work closely with senior engineers to implement data pipelines, develop transformation logic, and support our medallion architecture across ingestion, processing, and analytics layers.
This is an excellent opportunity for an engineer ready to deepen their expertise in modern data technologies while taking ownership of meaningful components within our data infrastructure.
Platform Modernization
· You will contribute to the transformation of legacy systems into our modern data architecture.
· This includes following engineering best practices such as code reviews, documentation, and testing, while actively learning from senior team members and growing your technical capabilities.
Data Ingestion and Orchestration
· You will develop and maintain datapipelines using Apache Airflow and Python. This includes writing and optimizing DAGs for ingesting data from brand partners, implementing data validation logic, and troubleshooting pipeline failures to ensure reliable data delivery.
Data Transformation and Processing
· You will build data transformation workloads by implementing Spark jobs based on business requirements. This involves developing scalable data pipelines, handling data quality issues, and supporting monitoring andalerting systems to ensure pipeline health and data freshness.
Analytics and Reporting
· You will support the development of data modelsinSnowflakeforanalytical workloads.
· You'll work with BI teams to understand reporting requirements and help build aggregation pipelines that support business intelligence and operational reporting needs.
