Data Engineer, Network Services Operational Excellence
1 month ago
How often have you had an opportunity to build a big business, solving significant customer problems through innovative technology, from the beginning?
The ideal candidate has expertise gathering customer needs and insights, designing schema's that organise data in a meaningful, efficient way, and knows how to build scalable and maintainable solutions. They are an expert at data modeling, building end to end data pipelines to stream data from multiple sources, ETL design, have hands-on knowledge of databases such as Redshift, and experience developing user interfaces. They are self-starter, comfortable with ambiguity, with strong attention to detail. They are motivated to achieve result in a fast-paced and ever-changing environment with ability to work effectively with cross-functional teams. A successful candidate will have a track record of partnering closely with customers to invent solutions to complex data problems. They have built trusting, collaborative relationships with business partners and have experience generating insights that enable senior stakeholders to make critical business decisions.
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
As a Data Engineer, you will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will work collaboratively with the business and technical teams on many non-standard and unique business problems and use creative-problem solving to deliver actionable output.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
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.
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 & 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.
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.
We are open to hiring candidates to work out of one of the following locations:
Dublin, D, IRL
BASIC QUALIFICATIONS
- Experience in data engineering- Experience with data modeling, warehousing and building ETL pipelines
- Experience working on and delivering end to end projects independently
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)
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