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Today

Amazon.com Services LLC New York, NY

New York, NY

Today

$145k - $197k/yr Full time Amazon Web Services Analytics Artificial Intelligence

Join the AIGC DIGI team as a Data Engineer focused on building analytical data infrastructure for Amazon Ads finance stakeholders.

Review business needs and the existing tech stack/data landscape, then design, redesign, implement, and build analytical data infrastructure for multiple ads businesses
Partner with upstream and data partner teams to support reliable data solutions for the AIGC finance analytics environment
Manage AWS resources including EC2, EMR, S3, Glue, and Redshift
Coordinate with other technology teams to extract, transform, and load data from a wide variety of source systems
Explore and adopt new AWS technologies to expand capabilities and improve efficiency
Collaborate with and support Business Intelligence Engineers (BIEs) on reporting and analysis best practices, including data integrity, test design, analysis, validation, and documentation
Work with stakeholders to define requirements based on business questions and deliver scalable data solutions
Continuously improve ongoing reporting and analysis processes by automating or simplifying self-service support for customers

3+ years of data engineering experience
1+ years developing and operating large-scale data structures for BI analytics using ETL/ELT
1+ years developing and operating large-scale data structures for BI analytics using OLAP technologies
1+ years developing and operating large-scale data structures for BI analytics using data modeling
1+ years developing and operating large-scale data structures for BI analytics using SQL
1+ years developing and operating large-scale data structures for BI analytics using Oracle
3+ years in the job offered or related occupation experience
1+ years developing and operating large-scale data structures for BI analytics using ETL (Extract, Transform, Load) / ELT (Extract, Load, Transform)
Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Mathematics, or related field
Experience with data modeling, warehousing, and building ETL pipelines

AWS: EC2, EMR, S3, Glue, Redshift
Data & query: SQL, ETL, ELT, OLAP
Data engineering: data modeling, ETL pipelines
Additional AWS services: Kinesis, FireHose, Lambda, IAM roles and permissions
Data stores: non-relational databases; object storage; document or key-value stores; graph databases; column-family databases

Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases/data stores, including object storage, document or key-value stores, graph databases, and column-family databases

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

Builds and operates scalable data infrastructure and AI solutions for finance and business stakeholders across AIGC
Works closely with the APM Advertising Finance team supporting publishers including Stores, Amazon Business, Books, Grocery/Physical Store, Devices, Video, and Audio
Focuses on accelerating top-line revenue and improving profitability by evaluating ad supply monetization and utilization, product feature or sales package adoption, campaign performance, and other growth drivers

Location: New York, NY (onsite)

Compensation: USD 145,300 - 196,600 per yearly

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