Build and maintain ETL/ELT workflows using SQL, Python, and AWS services
Support data infrastructure operations, including monitoring, alerting, and data quality controls
Investigate and resolve data quality issues, escalating complex problems or architectural trade-offs when appropriate
Partner with Data Science, Business Intelligence, Product, and Engineering stakeholders to understand requirements and implement reliable data solutions
Contribute to conversational and self-service analytics data products
Support compliance, privacy, retention, and governance requirements for data you own or contribute to
Clearly document your solutions to ensure ease of use and maintainability by others
Participate in code reviews, design discussions, and team planning
Participate in on-call and product support for business-critical pipelines and datasets
Build and curate datasets and documentation that AI assisted analytics tools consume
Use AI-assisted development tools to accelerate how you build, test, and debug pipelines
1+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one or more scripting language (e.g., Python, KornShell)
Knowledge of database, data warehouse, or data lake solutions
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with privacy, compliance, retention, or data governance programs
Experience using AI to accelerate development work
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 range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 101,300.00 - 160,000.00 USD annually
