Senior Data Engineer, Sales Tech

Amazon.com, Inc.
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  • Experience

    2-4 year
  • Salary

    $170,000-$180,000
  • Location

    Seattle, WA, USA
  • Job Function

    Senior Data Engineer
  • Industry

    Information Technology
  • Qualification

    Degree in Computer Engineering, Degree in Data Science

Key Skills

Java Programming, Leadership, Python Programming, Database, SQL, AWS, Big Data Technology, Data Modeling, NoSQL, Apache Hive, Teradata, Amazon Elastic Compute Cloud-EC2, SPARK Programming, Lambda, AWS Kinesis, Amazon Simple Storage Service (S3), Data Engineering, Large scale data processing, Data pipelines, ETL frameworks, Data Warehousing

Job Description

Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, tool providers, authors, and entrepreneurs. Our ad solutions—including sponsored, display, video, and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more.

Key job responsibilities

Global Advertising Partner Development team is looking for an experienced, self-driven, analytical, and strategic Data Engineer to build the next generation of data and insights for Amazon advertisers and brands. In this role, you should have deep expertise in the design, creation, and management of large and complex datasets. You should have strong experience at building scalable solutions to flow huge amounts of data from production systems into the data lake. You should be able to design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science teams.

A day in the life

You will work closely with the Business Intelligence Engineers, Data Scientists, Product Managers, Software Development teams and other business stakeholders on many unique business problems and use creative problem solving to deliver actionable output in data gathering, transformation, ingestion and storage. You should be able to gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. As a Senior DE, you will also be mentoring other junior resources, provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.

BASIC QUALIFICATIONS

  • 5+ 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
  • Excel in the design, creation, and management of large datasets.
  • Detailed knowledge of cloud-based data warehouses, architecture, infrastructure components, ETL and reporting/analytic tools and environments.
  • Skilled with writing, tuning, and troubleshooting complex SQL queries
  • Experience with Big Data technologies such as Hive/Spark, AWS EMR, AWS Glue, AWS Lambda , Kinesis, Redshift.
  • Proficiency in one of the scripting languages - python, java or similar.
  • Strong organizational skills and planning prowess, with excellent attention to detail.

PREFERRED QUALIFICATIONS

  • 7-10 years of industry experience as a Data Engineer or related specialty (e.g. Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets
  • Experience with Massively Parallel Processing (MPP) databases - Redshift, Teradata etc
  • Experience with distributed systems and NoSQL databases
  • Experience leading medium to large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
  • Excellent communication skills and able to work with business owners to develop and define key business questions and to build data sets that answer those questions
  • Experience providing technical leadership and mentorship to engineers and scientists on best practices in the data engineering space
  • Be self-driven and show ability to deliver on ambiguous situations and projects

Company Info.

Amazon.com, Inc.

Amazon.com, Inc. is an American multinational technology company with operations in cloud computing, streaming media, artificial intelligence, and e-commerce. The company has been referred to as one of the most influential economic and cultural forces in the world, and it is one of the world's most valuable brands.

  • Industry
    E-commerce,Entertainment
  • No. of Employees
    1,610,000
  • Location
    Arlington, VA, USA; Seattle, WA, USA
  • Website
  • Jobs Posted

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Amazon.com, Inc. is currently hiring Senior Data Engineer Jobs in Seattle, WA, USA with average base salary of $170,000-$180,000 per year.

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