• Data Engineer I, Catan

    Amazon (Seattle, WA)


    Description

    Do you want a role with deep meaning and the ability to make a massive impact? Hiring top talent is not only critical to Amazon’s success—it can literally change the world. It took a lot of great hires to deliver innovations like AWS, Prime, and Alexa, which make life better for millions of customers around the world every day. As part of the Intelligent Talent Acquisition (ITA) team, you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy that Amazon's Talent Acquisition operations need.

     

    ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. Last year, we delivered over 6 million online candidate assessments, replacing the "game of chance" with a merit-based approach that gives candidates the chance to showcase their true skills. Each year we help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms to solve complex hiring challenges. Leveraging Amazon's in-house tech stack built on AWS, you'll have the autonomy and flexibility to bring innovative solutions to life. One day, we can bring these solutions to the rest of the world. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.

     

    Within ITA, the Data team delivers high-quality recruiting data, reusable tools, and analytics reporting to Amazon Talent Acquisition customers. The Data team is the engine behind ITA’s success, creating pathways to information upon which all of the organization’s products are built and enabling Amazon to make correct hiring decisions a million times over. Focused on building scalable long term solutions, the team empowers engineers and consumers to develop, access, and analyze data independently with a high degree of data privacy and integrity. As a member of the Data team, you will deliver robust data solutions that drive fair and efficient hiring and rapidly evolve with the needs of the business.

     

    Key job responsibilities

     

    - Develop and maintain robust ETL/ELT processes for diverse data sources using SQL, scripting, and AWS big data technologies

     

    - Design and implement BI solutions that align with business needs and technical standards

     

    - Collaborate cross-functionally with business owners, developers, and BI Engineers to explore new data sources and deliver actionable insights

     

    - Proactively identify, troubleshoot, and resolve complex data-related issues, enhancing system autonomy and team productivity

     

    - Ensure data security and govern access to large datasets across the organization

     

    - Optimize data models and query performance for efficient data processing and analysis

     

    - Develop and maintain documentation for data pipelines, processes, and systems

     

    - Balance multiple priorities and manage end-to-end delivery of data engineering projects

     

    - Contribute to data governance policies and ensure compliance with data standards and regulations

    Basic Qualifications

    - 1+ years of data engineering experience

     

    - Experience with data modeling, warehousing and building ETL pipelines

    - Experience with SQL

    - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)

     

    - Experience with one or more scripting language (e.g., Python, KornShell)

    Preferred Qualifications

    - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

     

    - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

     

    Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

     

    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

     

    Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.