Sr. Data Engineer, Partner Analytics

Amazon Lab126

Amazon Lab126 is searching for an experienced Data Engineer to play a key role in their Partner Analytics team. The role involves providing technical leadership and developing end-to-end analytical solutions to support Generative AI analytics. This position requires expertise in building scalable data pipelines and enhancing business insights with a focus on technical architecture for data platforms.

In this role you can expect to have the responsibilities:

• Design and implement data pipelines for business insights and machine learning models.
• Lead the technical architecture of BI and Data platforms.
• Optimize storage and compute resources using AWS technologies like Redshift, S3, and Glue.
• Collaborate with Business Intelligence Engineers, Data Scientists, and Developers to gather requirements and build data pipelines.
• Manage Redshift Cluster and QuickSight infrastructure.

This role comes with the following benefits:

• Comprehensive medical, financial, and other benefits
• Equity and sign-on payments may be offered

This role requires you to have:

• 5+ years of data engineering experience
• Proficiency in data modeling and warehousing
• Experience with SQL
• Knowledge of a modern programming language such as Python or Java
• Ability to mentor team members on best practices

You would benefit from having:

• Experience with big data technologies like Hadoop and Spark
• Master's degree in a relevant field
• Familiarity with software engineering best practices and agile methodologies

Amazon is dedicated to fostering a diverse and inclusive workplace, offering equal opportunities regardless of race, gender, or disability. They provide workplace accommodations to support candidates with disabilities.