Data Engineer II

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Expert in data modeling, ETL design, and business intelligence tools
- Proficient in data engineering, SQL, and at least one contemporary scripting or programming language (e.g., NodeJS, Java, Scala, or Python)
- Experienced in data lake fundamentals, data processing stacks like Spark and EMR, and core data concepts (e.g., Data Modeling and Reporting)
- Deep understanding of the architecture for enterprise-level data lake/mesh solutions using NAWS stack or other cloud stacks

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Recruiting the right candidates across all of Amazon is critical to our ability to innovate and build on behalf of our customers. The Data Engineer II role is a key member of the team responsible for delivering accurate, secure, and timely recruiting data and metrics to our customers across Amazon, 100% of the time.

The ideal candidate is an expert in data engineering, with a passion for data and analytics. They thrive in a fast-paced environment, relish working with large volumes of data, and enjoy the challenge of highly complex technical contexts. The Data Engineer II is responsible for architecting, developing, and maintaining a scalable data infrastructure and data pipelines to support the team's data strategy and technical roadmap.

Key job responsibilities
- Design, implement, and support a platform providing secured access to large datasets.
- Architect, develop, and maintain end-to-end scalable data infrastructure and data pipelines.
- Develop the team's data strategy and technical roadmap of data storage for pipelines design and implementation.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, scripting, and AWS big data technologies.
- Design and implement complex ETL pipelines and other BI solutions.
- Work closely with business owners, developers, and Business Intelligence Engineers to explore new data sources and deliver the data.
- Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.
- Empower the team for self-servicing by providing the necessary skills to handle complex tasks independently.
- Ensure that the team can efficiently manage and troubleshoot data-related issues, leading to increased autonomy and productivity, while fostering a culture of self-reliance.