Data Engineer, Data Center Engineering Analytics

Amazon; New York (NY); On-site; USD 80,000 - 140,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer, where you'll play a crucial role in building scalable data pipelines and solutions that enhance decision-making processes. This innovative firm is dedicated to providing a dynamic work environment that fosters professional growth and continuous learning. You'll collaborate with diverse teams, tackle challenging problems, and contribute to the reliability of AWS data centers. If you're passionate about data and eager to make a significant impact, this role offers an exciting opportunity to drive engineering solutions that power the cloud. Be part of a culture that values inclusivity and bold ideas!

Qualifications

• 1+ years of data engineering experience required.
• Strong SQL and Python skills are essential.
• Experience with AWS technologies is a must.

Responsibilities

• Build data pipelines and solutions to manage operational data.
• Ensure data reliability and optimize performance of data queries.
• Collaborate with stakeholders to gather business requirements.

Skills

Data Engineering

SQL

Python

Data Modeling

ETL Pipelines

Data Visualization

AWS Technologies

Version Control

Non-relational Databases

Education

Bachelor's Degree

Tools

AWS QuickSight

Tableau

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Kinesis

AWS FireHose

AWS Lambda

Job description

Amazon is looking for a highly analytical Data Engineer to join the AWS Data Center Engineering team. The Data Center Engineering team owns the availability of AWS data centers, and has a direct impact on the customer experience. We obsess over customers by developing the most advanced engineering solutions that result in world class uptime, while continuously reducing costs for our customers. Amazon offers a fast paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences.

As a Data Engineer, you will partner with Business Intelligence Engineers and partner teams to build data pipelines and solutions to harness the vast amount of operational data from the AWS fleet. You will own the timely delivery of such data for use in downstream business intelligence solutions, as well as all necessary actions to ensure the reliability of data provided for business decision making. Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our organization.

The ideal candidates will have excellent analytical abilities, intense curiosity, and strong technical skills. They will have a strong bias toward data driven decision making, and building scalable data pipelines and systems to facilitate such decision making. They will be a self-starter; comfortable with ambiguity; able to think big and be creative, while exercising strong judgment and good instincts to be right a lot. The ideal candidate is motivated by delivering high-quality and innovative solutions within timeframes that most think are impossible. If you are excited about using data to look around corners and drive engineering solutions that are the foundation of AWS data centers, this role is for you!

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Key job responsibilities
- Collaborate with Business Intelligence Engineering team members, engineering stakeholders, partner technical teams, and business stakeholders, to gather business and functional requirements, and translate these requirements into a robust, scalable, and operable data infrastructure that works well within the overall AWS data architecture, and leads to improved engineering decisions.
- Develop a deep understanding and awareness of operational data from the AWS fleet, and build mechanisms for retrieving and aggregating such data for use by downstream business intelligence solutions.
- Develop a deep understanding of our vast data sources, and provide continuous recommendations for use to solve specific business problems.
- Take ownership of data reliability by, among other things, performing deep-dives to find root causes of potential data anomalies, and taking subsequent action to address these anomalies.
- Continuously optimize the performance of data queries, and address extract, transform, load (ETL) procedures.
- Insist on the highest standards by recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.


About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

#DCE_P&S

- Bachelor's degree
- 1+ years of data engineering experience
- 2+ years of SQL experience
- 1+ years of experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience in communicating with business users, technical teams, and leadership to collect technical requirements, discuss features, and review technical designs
- Experience with version control processes
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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.