Senior Data Engineer - AWS

In this role you will:

• Design and implement robust end-to-end data pipelines
• Architect, develop, and maintain enterprise data warehouse 
• Create and manage data pipelines - sourcing data from databases, streaming data, various web APIs, etc.
• Integrate data from data warehouse into 3rd party tools to make data actionable
• Provide ongoing maintenance and enhancements to the data pipeline
• Ensure data quality through automated testing
• Collaborate with analysts, engineers and business users to design solutions
• Research innovative technologies and make continuous improvements
• Work with our Data Science, Product and Business Analytics teams to define requirements, design and build the next generation of our product roadmap features
• Identify and evangelize programming best practices with the Data Engineering and Modeling teams
• Work closely with Analysis to ensure quality & availability of data in the Data Warehouse along with support of our Business Intelligence platform

We are looking for:

• Minimum 4 years as a Data Engineer designing, developing and maintaining enterprise-grade data warehouse solutions consisting of structured and unstructured data
• Highly proficient with AWS: Redshift, EMR, Sagemaker, S3. Certification recommended “AWS Certified Data Analytics - Specialty”
• Experience with Apache Spark. Kafka will be a plus.
• Proficiency with building and deploying  ETL / Data Preparation tools
• Knowledge of modern data warehouse solutions such as Snowflake. Certification recommended : “SnowPro Advanced Data Engineer”.
• Good understanding of database architecture and best practices
• Understanding of data science and machine learning technologies a plus
• Knowledge of Python, Java or other modern languages

Location

Anywhere in the US, available during PST working hours.