Data Engineer, Amazon Web Services, AWS Data Platform

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Cloud

Description For Data Engineer, Amazon Web Services, AWS Data Platform

AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like S3 and EC2. The AWS Data Lake team is seeking a Data Engineer to join their mission of helping customers understand their AWS Cloud usage. The role involves processing billions of daily transactions and transforming them into actionable insights using cutting-edge technologies like Redshift and EMR.

The ideal candidate will have deep expertise in designing and managing large datasets across various platforms. You'll work directly with business owners to understand requirements and implement ETL processes for data ingestion. The position offers opportunities to shape AWS' data lake architecture and supporting systems.

Amazon's culture emphasizes data-driven decision-making and provides comprehensive support for professional growth. The team offers formal mentorship programs, continuous learning opportunities, and a strong focus on work-life harmony. You'll be part of an inclusive environment that values diverse experiences and perspectives.

Working at AWS means joining a team that's disrupting the data warehouse industry while maintaining Amazon's high standards for scalability and reliability. The role combines technical expertise with business acumen, requiring someone who's passionate about working with vast datasets and driving business growth through data insights.

Benefits include comprehensive healthcare, mentorship opportunities, career development resources, and a supportive work environment that promotes diversity and inclusion. Amazon provides accommodations for disabilities and values work-life balance, making it an ideal place for long-term career growth in data engineering.

Last updated 12 minutes ago

Responsibilities For Data Engineer, Amazon Web Services, AWS Data Platform

  • Design, create, manage and use large datasets across various data platforms
  • Work with business owners to understand data requirements
  • Build ETL to ingest data into the data lake
  • Design and implement stable, scalable, low-cost solutions
  • Process billions of usage transactions daily into actionable information

Requirements For Data Engineer, Amazon Web Services, AWS Data Platform

Python
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines

Benefits For Data Engineer, Amazon Web Services, AWS Data Platform

Medical Insurance
Dental Insurance
Vision Insurance
  • Mentorship programs
  • Career growth opportunities
  • Work-life balance
  • Inclusive team culture
  • Disability accommodations

Interested in this job?

Jobs Related To Amazon Data Engineer, Amazon Web Services, AWS Data Platform

Data Engineer - FinTech, Brazil Application

Data Engineer position at Amazon's Finance Technology team in Sao Paulo, focusing on building and maintaining large-scale data platforms and BI solutions for financial operations.

Business Intelligence Engineer II, BizOps LATAM

Business Intelligence Engineer II position at Amazon LATAM, focusing on data analysis and insights generation for retail operations, requiring 4+ years of experience and strong technical skills.

Business Intelligence Engineer, Amazon Payments

Business Intelligence Engineer role at Amazon Payments, focusing on data analytics and insights for payment products, requiring 5+ years of experience and strong SQL skills.

Data Engineer II, eCS Data Engineering and Analytics

Data Engineer II position at Amazon's eCS team in Bangalore, focusing on building data engineering solutions for e-commerce systems with 3+ years experience required.

Business Intelligence Engineer, Creators

Business Intelligence Engineer role at Amazon focused on building analytics solutions for the Creator product suite.