Data Engineer II ITA - Workforce Intelligence
Data Engineer II ITA - Workforce Intelligence
Posted on :
08-04-2025
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1 Vacancy
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Job 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 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 and core data concepts (e.g. Data Modeling). 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
Ensure security and privacy of data products
Work closely with various stakeholders (business owners Business Intelligence Engineers and Data Scientists) to explore new data sources understand their needs design the best possible solution and deliver it.
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.
Experience as a Data Engineer or in a similar role
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 with big data technologies such as: Hadoop Hive Spark EMR
Bachelors degree
Experience working on and delivering end to end projects independently
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
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.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 and core data concepts (e.g. Data Modeling). 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
Ensure security and privacy of data products
Work closely with various stakeholders (business owners Business Intelligence Engineers and Data Scientists) to explore new data sources understand their needs design the best possible solution and deliver it.
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.
Experience as a Data Engineer or in a similar role
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 with big data technologies such as: Hadoop Hive Spark EMR
Bachelors degree
Experience working on and delivering end to end projects independently
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
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.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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