Software Developer Engineer

Job description

DESCRIPTION

Amazon is looking to hire a talented, smart and experienced Data/BI Engineer for its EU Transportation Technology team. Our mission is to build solutions that create high impact for Amazon’s EU business by closely working with business and engineering teams.

As a member of the team, you will play a key role in contributing to the success of the solutions, by partnering with respective business owners and engineers to leverage data and identify areas of improvement & optimization. The role sits in the sweet spot between technology, machine learning and business worlds and provides opportunity for growth, high business impact and working with seasoned business leaders.

At Amazon.com you will be working in one of the world's largest and most complex data warehouse environments. You should be skilled in the architecture of DW solutions for the Enterprise using AWS technologies (Lambda, EC2, Redshift, RDS). You should have extensive experience in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions.
The successful candidate will be a recognized expert for their analytical and leadership abilities.

The successful candidate will be a recognized expert for their analytical and leadership abilities.

· Apply Statistical and Machine Learning methods to specific business problems and data.
· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
· Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.
· Work with engineers to develop efficient data querying and modeling infrastructure
· Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful
· Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions
· Establish reporting standards by role, region, and vertical. Apply data engineering to deliver automated solutions, where possible.
· Assess performance of KPIs and KPMs; surface exceptions to the respective teams. Setup and execute processes to enable operations to drive corrective actions as necessary.
· Setup and execute processes of back-testing to verify the corrective action effectiveness and report
· Setup and execute processes for creation and distribution canned analysis reports where automated solutions do not exist.
· Setup and execute processes for performing exploratory data analysis to unearth insight or patterns that can be used to drive operational efficiency, further control cost per transaction of the operations teams.
· Work closely with Business, Subject Matter Experts (SME) and Software Development Engineers (SDE).

Desired profile

BASIC QUALIFICATIONS

· Bachelor’s degree in Computer Science, Mathematics, Statistics or a related technical field from an accredited institution, and 2+ years of relevant employment experience.
· 2+ years of industry experience as a Data Engineer or related specialty with a track record of manipulating, processing, and extracting value from large datasets
· Advanced SQL writing and experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with complex datasets.
· Experience with Machine Learning.
· Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses.
· Strong verbal and written communication skills, including an ability to effectively lead and influence interactions with both business and technical teams.