Data Engineer II, GME Fintech

Job Description

Amazon is seeking an experienced Data Engineer to drive the team’s data strategy and vision within the Global Media and Entertainment (GME) Finance team.

Requirements

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores
• Experience in at least one modern scripting or programming language such as Python, Java, Scala, or NodeJS

Responsibilities

• Architect and develop end-to-end scalable data applications and data pipelines
• Design and build data reporting solutions across different visualization platforms
• Establish scalable, efficient, automated processes for reporting, dashboards, data analyses, and model development
• Ability to query, program, and perform analysis on large datasets using SQL languages and Python
• Build data infrastructure and manage other AWS resources including EC2, RDS, Redshift, EMR, etc.
• Collaborate with other teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
• Participate in data strategy and roadmap exercises, data warehouse design, and implementation

Benefits

• Medical, dental, and vision coverage (multiple plan options)
• Health savings and flexible spending accounts
• 24/7 Employee Assistance Program for mental health support
• 401(k) with company match and various investment choices
• Company-paid life/AD&D and disability insurance
• Restricted stock units (RSUs) for employee ownership
• Child care and elder care referrals, adoption assistance
• Paid maternity and parental leave (including Ramp Back)
• Paid time off (PTO) and company holidays
• Employee discount on Amazon.com products
• Career Choice program (95% tuition and textbook coverage)