About the Role

Data Engineer role at Amazon's SCOT team focusing on building and maintaining large-scale data warehouse solutions. The position involves designing data pipelines, working with massive datasets, and creating business intelligence tools used globally. You'll collaborate with teams to deliver mission-critical analytics and drive data-driven decision making.

Key Responsibilities

• Design, implement, and operate stable, scalable data solutions for production systems
• Build and maintain data warehouse implementations and ETL pipelines
• Develop tools to facilitate data integration and architect appropriate storage technologies
• Create technical content and provide consultation to internal teams on data solutions
• Collaborate with data product managers to design and deliver new features

Required Skills & Qualifications

Must Have:

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• 2+ years analyzing data with Redshift, Oracle, NoSQL or similar technologies
• Programming experience with at least one modern language (C++, C#, Java, Python, etc.)

Nice to Have:

• Experience with AWS technologies (Redshift, S3, Glue, EMR, Kinesis, etc.)
• Experience with non-relational databases and data stores
• Knowledge of batch and streaming data architectures (Kafka, Kinesis, Flink, etc.)