Description

　　We are looking for a Data Engineer to join the Networking Operational Excellence team.

　　How often have you had an opportunity to build a big business, solving significant customer problems through innovative technology, from the beginning?

　　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 closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output.

　　The ideal candidate has expertise gathering customer needs and insights, designing logical 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 relationships with business partners and have experience generating insights that enable senior leaders to make critical business decisions.

　　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 closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output.

　　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)

　　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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

　　Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel:+448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel:+3531800851489).