About the Role

AWS is seeking a Data Engineer to build and maintain automated ETL pipelines and data infrastructure for their global infrastructure supply chain. The role involves working with serverless AWS technologies to support data lake and data warehouse systems that drive multi-billion dollar business decisions.

Key Responsibilities

• Develop and maintain automated ETL pipelines with monitoring using Python, Spark, SQL and AWS services
• Implement and support reporting and analytics infrastructure for internal business customers
• Develop and maintain data security and permissions solutions for enterprise-scale data warehouse and data lake
• Develop data objects for business analytics using data modeling techniques
• Develop and optimize data warehouse and data lake tables using best practices

Required Skills & Qualifications

Must Have:

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Mathematics, or related technical field

Nice to Have:

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles
• Experience with non-relational databases / data stores

Benefits & Perks

• Inclusive team culture with employee-led affinity groups
• Mentorship and career growth opportunities
• Work-life balance with flexible working culture
• Comprehensive compensation package including equity and benefits