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Data Engineer II, ITA

4 weeks ago

Dublin, Dublin City, Ireland Amazon Full time
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 operation needs.

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. Join ITA in using the latest 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.

As a Data Engineer II, you should be an expert with data lake fundamentals around storage, compute, etc., familiar with multiple data processing stacks like Spark, EMR, and core data concepts (e.g., Data Modeling and Reporting). You should have a deep understanding of the architecture for enterprise-level data lake/mesh solutions using AWS stack or other cloud stacks. You should be an expert in the design, creation, management, and business use of large datasets. The candidate is expected to be able to build efficient, flexible, extensible, and scalable ETL and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the existing platform. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is passionate about data and analytics.

Key job responsibilities

1. Architect, develop and maintain end-to-end scalable data infrastructure and data pipelines.
2. Work closely with business owners, developers, and Business Intelligence Engineers to explore new data sources and deliver the data.
3. Empower the team for self-servicing by providing the necessary skills to handle complex tasks independently.
4. Ensure that the team can efficiently manage and troubleshoot data-related issues, leading to increased autonomy and productivity, along with fostering a culture of self-reliance.

A day in the life
As a Data Engineer with Workforce Intelligence, you will partner with Software Engineers, Data Scientists, and Business Intelligence Engineers. You will gain a deep understanding of our services and the data they produce, and become our resident expert in how to transform that data into a format that is useful for analytics and business intelligence. You will proactively help to identify new data for integration with our platform and propose and implement new technologies to help us better understand our data. In this role, you will serve as the expert in designing, implementing, and operating a stable, scalable, low-cost environment to flow information from the source systems to data warehouse into end-user facing reporting applications such as Tableau or AWS QuickSight. Above all, you will bring large datasets together to answer business questions and drive data-driven decision making.

About the team

ITA-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.

BASIC QUALIFICATIONS

- 3+ years of data engineering experience
- Experience with data modeling, warehousing, and building ETL pipelines

PREFERRED QUALIFICATIONS

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

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.

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.

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