Über
Build and optimize ETL pipelines for complex datasets using AWS services (e.g., Redshift, S3, EMR, Glue, Lambda, Athena) and Python-based orchestration (such as Airflow/MWAA) to ensure efficiency and maintainability.
Create configuration-driven data frameworks that minimize repetitive custom code by using reusable, declarative patterns for ingestion, transformation, and metric curation.
Develop AI agent tooling and interfaces that enable conversational agents to generate SQL, validate configurations, manage data quality rules, and execute pipeline operations using natural language.
Oversee ongoing data quality for the datasets you create by implementing standardized data contracts, defining SLAs, and automating data quality processes.
Collaborate with planning scientists, software engineers, BI engineers, and product managers to balance technical and customer requirements, influencing both what and how we build.
Enhance self-service access to data by building analytical data models and tools that reduce reliance on the data engineering team for common data access patterns.
Streamline engineering processes by automating manual tasks, establishing monitoring and alerting standards, and promoting code quality and dependency management practices.
Mentor junior engineers and interns, sharing knowledge about data solutions construction, operation, and integration within the broader architecture.
Participate in the recruitment process to help grow our talented team.
Basic Qualifications: 3+ years of experience in data engineering. 1+ years of experience developing and maintaining large-scale data structures for business intelligence analytics using ETL/ELT methods. 1+ years of experience with OLAP technologies. 1+ years of experience in data modeling. 1+ years of experience using SQL. 1+ years of experience with Oracle databases. Expertise in data modeling, warehousing, and building ETL pipelines. Preferred Qualifications: Proficiency with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions. Familiarity with non-relational databases and data stores like object storage, document stores, key-value stores, graph databases, and column-family databases. Amazon is proud to be an equal opportunity workplace. It is our policy to provide equal opportunity regardless of veteran status, disability, or any other legally protected status. Our inclusive culture empowers Amazonians to deliver exceptional results for our customers. If you require any adjustments during the application and hiring process due to a disability, please refer to our accommodations information. Based on your experience and qualifications, compensation will vary. The base salary for this role includes the following ranges: USA, TN, Nashville: $125,500.00 - $169,800.00 annually USA, TX, Austin: $132,100.00 - $178,800.00 annually USA, WA, Bellevue: $132,100.00 - $178,800.00 annually.
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klicken Sie auf „Jetzt Bewerben“, um Ihre Bewerbung direkt auf deren Website einzureichen.