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
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