Amazon Transportation Services (ATS) is a the global middle-mile transportation organization within Amazon. As part of the transportation, we ship several millions of packages every year to customer on time with high customer excellence. In order to do that, the Data Technology and Products (DTP) team is the data engine behind the successful European operations, providing the data backbone in real time and batch fashion on large-scale cloud architectures. The challenge for you would be to manage the huge amount of data that is produced every second and process it with the minimum lag to be made available as insights to the customers at the shortest time periods. To understand more about the organization, please check out our YouTube video - https://www.youtube.com/watch?v=en5YqrtBGvY

Your adventure
As a Senior Data Engineer, you will be technically mentoring a team of Data Engineers and will play a thought leadership role in our team – the team will look to you for advice on data architectures and business issues facing them. In this role you will help make Amazon the Earth’s Best Employer by improving the job experience for hundreds of thousands of our associates. In this role, you will lead a team to build infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, and recent advances in distributed systems (Big Data Technologies). You will work with passionate scientists, business intelligence engineers, software development engineers, product managers and business analysts, to deliver a comprehensive set of stable and performant data architectures to build data stacks complementing software that powers the organization. You are an expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into other systems. The role requires someone who loves data, understands enterprise information systems, has a strong business sense, and can mentor a team to put these skills into action.


In this role you will:
· Be a technical leader that is not afraid to challenge the norms and innovate.
· Help establish the long-term success strategy for managing data lakes and streaming architectures
· Develop relationships with internal and external partner teams to enrich our collection of data.
· Collaborate with peers, ensuring your strategies align with partner development and business teams.
· Develop and mentor junior and new team members.

Your rewards
Come join us if you want to:
· Build highly available, scalable, and performant services to power responsive, intuitive, and sleek experiences for customers.
· Drive a culture of excellence, and help mature a growing team of data experts to take them to the next

BASIC QUALIFICATIONS

· Degree in Computer Science, Engineering, Mathematics, or a related field and 7+ years industry experience
· 10+ years of hands-on experience hiring and managing teams of Data Engineers and 5+ as a hands-on Data Engineer
· Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
· Proficiency with at least one Object Oriented language (e.g. Java, Python, Ruby)
· Highly proficient in SQL and knowledgeable about data warehousing concepts.

PREFERRED QUALIFICATIONS

· Experience building data products incrementally and integrating and managing datasets from multiple sources
· Experience with AWS Big Data Stack (Redshift, S3, Glue, Lake Formation, SQS, Kinesis etc.)
· Experience providing technical leadership and mentor other engineers for data engineering best practices
· Advanced knowledge and expertise with Data modelling skills, Advanced SQL with Oracle, MySQL, and Columnar Databases
· Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing