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Data Engineer, Amazon Publisher Services, Publisher Data Lake

Amazon

Our mission: To be Earth's most customer-centric company.

DESCRIPTION

Job summary
Want to work on one of Amazon’s fastest growing advertising businesses? Amazon Publisher Services (APS) helps digital publishers around the world build and grow thriving businesses. We provide services and advanced technologies to web, mobile app and advanced TV publishers of all sizes, including many of comScore’s global top 100, to help them monetize their content with demand from multiple programmatic buyers. Our server-side header bidding solutions are fast and reliable across devices, handling billions of queries per day, delivering ads in milliseconds. The result is more profitable advertising for publishers and more relevant ads for customers.

We’re building turn-key, fully integrated data solutions for our publisher customers that process, analyze and derive actionable insights on data from various 1P and 3P data sources in a privacy-safe environment. We process terabytes of data every day and use a variety of technology like Hive, Spark, Airflow, SQL, and AWS Big Data technologies like EMR, Redshift, S3, Glue, Kinesis and Lambda.

We are seeking a Data Engineer to build the tools and infrastructure necessary to process data in real-time for our customers. You’ll also be responsible for developing the data architecture components that scale with ever-evolving data needs.

Key job responsibilities
Design, implement and support an analytical data infrastructure
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS Big Data technologies
Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
* Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency

BASIC QUALIFICATIONS

• 3+ years of experience as a Data Engineer or in a similar role
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience in SQL

PREFERRED QUALIFICATIONS

• 5+ years of experience as a Data Engineer, BI Engineer, or Systems Analyst in a company with large, complex data sources.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
• Experience working with AWS Big Data technologies including: EMR, Redshift, S3, Glue, Kinesis and Lambda.
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
• Proven success in communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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Data Engineer, Amazon Publisher Services, Publisher Data Lake

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Amazon

Our mission: To be Earth's most customer-centric company.

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