About the Role

AWS is seeking a Data Engineer to join their Professional Services team, focusing on designing and implementing data solutions for global customers. The role involves building data pipelines, data warehousing, and collaborating with customers on cloud infrastructure and data architecture.

Key Responsibilities

• Design and build data pipelines, data warehousing, and ETL processes
• Collaborate with customers and partners on data architecture and cloud solutions
• Lead proof-of-concept projects and perform enterprise portfolio assessments
• Conduct skills transfer workshops and provide technical guidance
• Assist with non-technical change management including policies and processes

Required Skills & Qualifications

Must Have:

• 5+ years of experience with data modeling, data warehousing, and building ETL pipelines
• Knowledge of AWS services including S3, Redshift, EMR, Kinesis and RDS
• Experience with Open Source Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
• Ability to write code in Python, Ruby, Scala or other platform-related Big data technology

Nice to Have:

• Strong verbal and written communication skills with stakeholders (Japanese language preferred)
• Experience leading large-scale data warehousing and analytics projects using AWS technologies
• 5+ years of leadership experience in a technical, customer-facing role
• Experience in working with data lakes, modern data architectures, Lambda type architectures

Benefits & Perks

• Inclusive team culture with employee-led affinity groups
• Mentorship and career growth opportunities
• Work-life balance and flexible working culture
• Continuous learning and knowledge-sharing environment