Denton, TX, United States
September 26, 2023
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Job Description
- 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 pipelines.
- Business Analyst experience good communication skills and has soft skills to lead the team and be a link between architects, developers, and project managers.
- Requires 10% travel.
- Bachelors' degree in Computer Science, Informatics, or a related field required.
- Masters’ degree in Computer Science preferred.
- 6+ years of experience in a data engineering role.
- 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.
