Senior Data Engineer - Analytics

August 20

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1001 - 5000

💰 $3G Private Equity Round on 2021-01

Description

• Build data models that can support dynamic and efficient data analysis, and collaborate with other teams to maintain and evolve those models over time • Ensure alignment to coding standard methodologies and development of reusable code • Partner with Data Analysts to understand business processes and identify opportunities to build scalable and efficient data models that can be used for scalable, refreshable analysis and reporting • Create and enable the generation of ad-hoc / on-demand data sets for use by analysts and data scientists • Work with Engineering teams to set up monitoring and alerting systems for business and product KPIs

Requirements

• BS/MS in Computer Science or a related technical field. • 5+ years working with Analytics and Data Engineering teams with a mixed data engineering and analytics background • 5+ years of experience in scalable data architecture, fault-tolerant ETL, and monitoring of data quality in the cloud • Experience working on or leading initiatives around data governance, master data management, data catalogs, and enterprise data warehouse architecture • Strong analytical skills, data sensibility, and an able communicator • Open to working on multiple projects simultaneously • High Proficiency in: • SQL • Python • Dimensional Modeling • Data pipeline development, workflow management, and orchestration tools • ETL optimization and best practices • Snowflake or other column-oriented and cloud-based databases • Relational Databases

Benefits

• Bonus or commission • Restricted Stock Units (RSUs) • Paid time off • Generous 401k match • Wellbeing resources • And more.