About
As a Data Engineer on this team, you will built data pipeline and analytics solutions for our internal customers to answer question with data, drive critical business decisions and product quality improvements for our customers. Our Data Engineers use best practices in software engineering, data management, data storage and compute. You will work on a cross-functional team with other data engineers and scientists, and drive changes that directly impact our customers.
Key Job Responsibilities Data Infrastructure
Architect and develop robust data pipelines that ingest and transform data for business intelligence analytics
Maintain data pipelines using scripting languages such as Python, Spark, SQL and AWS services such as S3, Glue, Lambda, SNS, SQS, KMS
Design and implement scalable data infrastructure supporting Redshift clusters and visualization dashboards that serve product stakeholders
Build self-serve data platforms to enable scientists and business stakeholders to answer business questions with data. Implement and support reporting and analytics infrastructure for internal customers.
Ensure compliance with data governance. Address data access restrictions while maintaining adherence to data protection policies and security standards
Implement data quality monitoring mechanisms with alerting for pipeline failures or anomalies. Ensure data and reporting consistency across the organization
Communication
Excel at communicating complex ideas to technical and non-technical audiences.
Build relationships with product and engineering stakeholders and counterparts.
Work with stakeholders to gather requirements, and translate business needs into data engineering solutions
Work cross-functionally across product and engineering teams to drive adoption of data assets
Operations
Drive automation and operational excellence in data infrastructure. Reduce manual intervention and improve system reliability.
Scale existing solutions. Create new solutions as required based on team and stakeholder needs.
Basic Qualifications
5+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Experience mentoring team members on best practices
Experience building data products incrementally and integrating and managing data sets from multiple sources
Preferred Qualifications
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience operating large data warehouses
Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary for this position ranges from $135,700/year up to $226,500/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.
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Languages
- English
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