Data Engineer

• Develop and maintain ETL/ELT data pipelines to ingest, transform, and deliver data into the data warehouse.
• Design and implement monitoring and alerting systems to proactively detect pipeline failures, anomalies, and data quality issues.
• Establish data quality validation checks and anomaly detection mechanisms to ensure accuracy and trust in data.
• Define and maintain data structures, schemas, and partitioning strategies for efficient and scalable data storage.
• Create and maintain comprehensive documentation of data pipelines, workflows, data models, and data lineage.
• Troubleshoot and resolve issues related to data pipelines, performance, and quality.
• Collaborate with stakeholders to understand data requirements and translate them into reliable engineering solutions.
• Contribute to continuous improvement of the data platform’s observability, reliability, and maintainability.

Data Engineer

Data Warehouse Administrator

Data Engineer – Apache Airflow Specialist

Lead Data Engineer

Senior Data Engineer