Data Engineer

Job Functions / Responsibilities

• Build and document automated data pipelines from a wide range of data sources with an emphasis on automation and scale
• Develop highly available applications and APIs to support near-real-time integrations using an AWS-based technology stack
• Ensure product and technical features are delivered to spec and on-time in a DevOps fashion
• Contribute to overall architecture, framework, and design patterns to store and process high data volumes
• Develop solutions to measure, improve, and monitor data quality based on business requirements
• Design and implement reporting and analytics feature in collaboration with product owners, reporting analysts / data analysts, and business partners within an Agile / Scrum methodology
• Proactively support product health by building solutions that are automated, scalable, and sustainable – be relentlessly focused on minimizing defects and technical debt
• Provide post-implementation production support for data pipeline

Qualifications

• Bachelors' degree in Computer Science, Informatics, or a related field required
• Masters’ degree in Computer Science preferred
• 3+ years of experience in a data engineering role
• 2+ years of experience with AWS and related services (e.g., EC2, S3, SNS, Lambda, IAM, Snowflake)
• Hands-on experience with ETL tools and techniques (Desirable)
• Basic proficiency with a dialect of ANSI SQL, APIs, and Python
• Knowledge of and experience with RDBMS platforms, such as MS SQL Server, MySQL, NoSQL, Postgres