Data Engineer, Central InfraOps Analytics Team

As a Data Engineer you will enable data-driven decision making within the Amazon Web Services Data Center Infrastructure Operations organization.

The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure.

The team supports all aspects of the Data Center based organizations, including but not limited to : Safety, Security, maintenance, daily operations, logistics, engineering and equipment management.

You will be developing, implementing and maintaining the information data lake and utilizing insight platforms to enable decision support systems for the overall organization.

You should have excellent business and communication skills, and be able to work with business owners to understand their data and reporting requirements.

Above all, you should be passionate about working with huge data sets and be someone who is able to bring data sets together to answer business questions and drive growth.

You will build ETLs to ingest the data into the data warehouse and data lake, as well as end-user facing reporting applications.

You will primarily support teams within the Infrastructure environment, but will also have opportunities to support teams in the overall Amazon Web Services community.

You will work with business customers and development teams to define analytics requirements and then deliver flexible, scalable, end-to-end solutions.

You will have an opportunity to work with big data and emerging technologies while driving business intelligence solutions end-to-end : business requirements, data modeling, ETL, metadata, reporting, and dashboarding.

You should have expertise in the design, creation, management, and business use of large datasets.

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

About the team

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.

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.

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.

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.

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.

BASIC QUALIFICATIONS

• Experience with data modeling, warehousing and building ETL pipelines
• 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.
30+ days ago