A company is looking for a Data Engineer to join their centralized Data & Analytics team.
Key Responsibilities :
Design, develop, and optimize ETL / ELT pipelines and cloud-based infrastructure for analytics and machine learning
Own the ingestion and modeling of new data sources, ensuring data is structured for reporting and analytics
Collaborate with Analytics Engineers and business teams to deliver a robust internal data mart for self-service reporting
Required Qualifications :
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience)
1-4 years of experience in data engineering, software engineering, or analytics roles
Strong proficiency in SQL and Python, with experience in cloud data platforms like Azure Synapse or Snowflake
Proficiency with Git and agile development practices
Experience with workflow orchestration tools such as Apache Airflow or Azure Data Factory preferred
Data Engineer • Glendale, Arizona, United States