The PAM team in First Mile Supply Chain org is seeking an exemplary Senior Data Engineer with broad technical skills to develop, own and support pipelines that back business analytics, to build tools that facilitate orchestration, and to produce automation scripts that optimize infrastructure. We look for candidates who are excellent communicators, can think big, self-motivated, flexible, hardworking, and who like to have fun.

This role is part of Supply Chain business that supports a wide range of teams for volume planning across different horizons i.e. Short-term/Mid-term/Long-term and networks i.e. sortable/non-sortable/specialty across EU/NA/ROW. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.

We are looking for someone with preferred experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose and Lambda. Experience working independently on and completing end-to-end projects. Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

The ideal candidate has experience building and managing data lakes that scales for World wide scope, building data validation mechanisms and can collaborate with software engineering team to onboard new businesses in Amazon.

Key job responsibilities
Main responsibilities of this role include but are not limited to:

- Manage and grow a database infrastructure
- Develop automation solutions through programming languages
- Support analytical researches and provide recommendations to business challenges
- Use best practices for data modeling, ETL/ELT procedures, SQL, Redshift, and OLAP technologies to implement data structures.
- Experience in at least one modern scripting or programming language, such as Python, Typescript, or Scala.
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Collect and convert functional and business requirements into solutions that are operable, scalable, and well-suited to the overall data
- Determine best practices for creating data lineage from a range of data sources by analyzing source data systems. data sources.
- Engage in all phases of the development life cycle, including design, implementation, testing, delivery, documentation, support, and maintenance.
- Generate complete, reusable metadata and dataset documentation.

A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan