Do you want a role with deep meaning and the ability to make a massive impact Hiring top talent is not only critical to Amazons successit 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 youll have the opportunity to reinvent the hiring process and deliver unprecedented scale sophistication and accuracy that Amazons Talent Acquisition operation needs.
ITA is an industryleading 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 meritbased 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. Youll work on stateoftheart research advanced software tools new AI systems and machine learning algorithms to solve complex hiring challenges. Leveraging Amazons inhouse tech stack built on AWS youll 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 latest technologies to transform the hiring landscape and make a meaningful difference in peoples lives. Together we can solve the worlds 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 deep understanding of the architecture for enterprise level data lake/mesh solutions using NAWS 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 fastpaced environment relishes working with large transactional volumes and big data enjoys the challenge of highly complex business contexts (that are typically being defined in realtime) and above all is a passionate about data and analytics.
Key job responsibilities
Architect develop and maintain end to end scalable data infrastructure and data pipelines
Work closely with business owners developers Business Intelligence Engineers to explore new data sources and deliver the data.
Empower the team for selfservicing by providing the necessary skills to handle complex tasks independently.
Ensure that the team can efficiently manage and troubleshoot datarelated issues leading to increased autonomy and productivity. along with fostering a culture of selfreliance.
About the team
ITAData team delivers highquality recruiting data reusable tools and analytics reporting to Amazon Talent Acquisition customers. The Data team is the engine behind ITAs success creating pathways to information upon which all of the organizations 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.
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience with distributed systems as it pertains to data storage and computing
Experience with Redshift Oracle NoSQL etc.
Experience working on and delivering end to end projects independently
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
5 years of data engineering experience
2 years of Experience with developing data solutions on AWS
Expertise in Orchestration/dependency management with Apache Airflow AWS Step Functions AWS Glue and/or AWS Lambda
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