TELUS International · 23 hours ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

5+ years exp

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Responsibilities

Data Architecture: Design, implement, and maintain scalable data architectures, including data pipelines, warehouses, and data lakes.

ETL Development: Develop and optimize ETL processes to efficiently extract, transform, and load data from various sources.

Data Pipeline Orchestration: Utilize Airflow to orchestrate complex data pipelines, ensuring reliable and timely data delivery.

Performance Optimization: Continuously monitor and optimize data infrastructure performance, including query optimization and pipeline tuning.

Data Quality Assurance: Implement robust data quality checks and validation processes to ensure data accuracy and integrity.

Data Modeling: Design and implement effective data models that support business analytics and reporting.

Collaboration and Mentorship: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide technical guidance.

Cloud Technologies: Leverage cloud platforms (AWS or GCP) to build scalable and cost-effective data solutions.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringPythonSQLData WarehousingCloud TechnologiesAirflowBigQueryDbtAWSGCPData VisualizationMachine LearningDevOps