Data Engineer II — Analytics & Data Platform

Amazon

Hinoba-an

On-site

PHP 900,000 - 1,500,000

Full time

10 hours ago
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Job summary

Amazon Advertising's Sales Data Services team is seeking a Data Engineer II to design and maintain large-scale data pipelines and a robust data lake on AWS. You will collaborate with BI Engineers, Data Scientists, Product Managers, and other stakeholders to deliver reliable analytics, dashboards, and insights powering advertising decisions.

You will mentor peers, improve data architecture, and ensure scalable, cost-effective data solutions across the Sales AI organization.

Qualifications

  • 3+ years of data engineering experience.
  • Experience building/operating highly available, distributed data pipelines.
  • Experience with SQL and programming languages (Python/Java/Scala/NodeJS).

Responsibilities

  • Design, implement, and support data warehouse and data lake infrastructure using AWS big data stack, Python, Redshift.
  • Develop and manage ETLs to source data from various data lakes and create unified data models for analytics and reporting.
  • Empower internal customers with self-serve analytics and support ad-hoc reporting as needed.
  • Develop deep understanding of vast data sources and know how to select data to solve business problems.
  • Manage multiple requests concurrently, prioritizing and collaborating across teams to deliver results.
  • Mentor other engineers and contribute to team culture and growth.

Skills

SQL
3+ years data engineering
Python/Java/Scala/NodeJS

Tools

Redshift
S3
AWS Glue
EMR
Kinesis
Lambda
IAM

Job description

Amazon Advertising's Sales Data Services team is seeking a Data Engineer II to design and maintain large-scale data pipelines and a robust data lake on AWS. You will collaborate with BI Engineers, Data Scientists, Product Managers, and other stakeholders to deliver reliable analytics, dashboards, and insights powering advertising decisions.

You will mentor peers, improve data architecture, and ensure scalable, cost-effective data solutions across the Sales AI organization.

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