IT PnD Data and Analytics team is looking for a Data Engineer to join the team to design, manage, and continuously enhance our data and analytics infrastructure, with process automation/improvements, developing automated reporting solutions/tools, and improving the ability of the IT Services organization to process, analyse, access and consume accurate and timely data.
As a Data Engineer you will be working in one of the largest cloud-based data lakes. You should have 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 build data sets that answer those questions. You should be able to architect highly efficient data and reporting structures, making a trade-off between scalability, performance and user functionality needs, using expert knowledge in software development technologies. You should be able to lead design reviews and offer feedback on design, integration, performance and scalability issues. Serve as an authority in the area of technical and domain expertise and mentor, develop, and train data engineers.
Key job responsibilities
In this role you will work with a team in building a Federated data ecosystem, near real time data ingestion, calculation engines, and reporting solutions for IT Services organization. The role requires someone who loves data, understands enterprise information systems, has a strong business sense, and can collaborate with multiple teams to put these skills into action. The ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, big data, and enjoys the challenges of highly complex business context. This role requires an individual with a strong data modelling background, deep knowledge of cloud infrastructure, optimizing data for business intelligence solutions, and the ability to quickly learn, adapt and work with a variety of technologies.
BASIC QUALIFICATIONS
- Bachelor's degree
- 5+ years of data engineering experience
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Proven track record of sharing outcomes through written communication, including an ability to effectively communicate with both business and technical teams.
PREFERRED QUALIFICATIONS
- Master’s Degree in Data Engineering or related certification
- Knowledge of systems engineering to optimize integration of data service/software solutions with data infrastructure
- Proven track record of applying data engineering for enabling business analytics (IT Services, Procurement, Operations, Finance, etc.)
- Experience providing technical leadership and mentoring other engineers for the best practices on data engineering
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.