Amazon.com Services LLC
Database Administration, Data Engineering, finance
DataEngineerII,ISFCentralTechTeam
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II, ISF Central Tech Team at Amazon.com Services LLC. Skills: Data Engineering, ETL Pipelines, AWS, Data Modeling. Design ETL pipelines. Build ETL pipelines”
What You'll Achieve.
Deliver data-driven decision-making; Influence day-to-day decisions; Make it easier for customers
Industry & Context.
Problem solving; Complexity analysis
What They're Looking For.
Must Have
3+ years of data engineering experience, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience with SQL, Experience working on end to end projects independently, Bachelor's degree in Computer Science
Nice to Have
Experience with AWS technologies, Experience with Redshift, Experience with S3, Experience with AWS Glue, Experience with EMR, Experience with Kinesis, Experience with FireHose, Experience with Lambda, Experience with IAM roles, Experience with permissions, Experience with non-relational databases, Experience with object storage, Experience with document stores, Experience with key-value stores, Experience with graph databases, Experience with column-family databases
What You'll Do.
Design analytics solutions
Build analytics solutions
Lead technical design
Lead launch of global system
Deliver data as a service
Mentor junior engineers
Full Job Description
Here's the two-paragraph version: The International Stores Finance Central Engineering team is seeking a passionate, solution-oriented Data Engineer to design and build complex ETL pipelines and analytics solutions that power data-driven decision-making across Amazon's rapidly growing international business. You will lead the technical design, development, and launch of a new global system serving finance needs worldwide—delivering data as a service that directly influences day-to-day decisions and makes it easier for customers to do business with Amazon Retail. The ideal candidate brings strong experience designing and building secure, globally distributed systems on AWS, with responsibility for architecture, design, and implementation that delivers availability and latency guarantees. Beyond technical excellence, you will be a leader on the team—mentoring junior engineers, contributing to hiring through interviews, and setting a high bar for coding standards across the organization. Key job responsibilities 5+ years as a Data Engineer or in a similar role Experience with data modeling, data warehousing, and building ETL pipelines Experience leading and influencing the data strategy of your team or organization Experience in SQL A Bachelor's degree in Computer Science or similar major Hands-on experience leading delivery and operations of distributed, high quality systems Fundamentals in data structures, algorithm, problem solving, and complexity analysis Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience working on and delivering end to end projects independently Preferred Qualifications: - 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 (object storage, document or key-value stores, graph databases, column-family d
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