Data Engineer I, Business Data Technologies

Business Data Technologies (BDT) makes it easier for teams across Amazon to produce store catalog secure move and analyze data at massive scale. Our managed solutions combine standard AWS tooling open-source products and custom services to free teams from worrying about the complexities of operating at Amazon scale. This lets BDT customers move beyond the engineering and operational burden associated with managing and scaling platforms and instead focus on scaling the value they can glean from their data both for their customers and their teams.

We own the one of the biggest (largest) data lakes for Amazon where 1000s of Amazon teams can search share and store EB (Exabytes) of data in a secure and seamless way; using our solutions teams around the world can schedule/process millions of workloads on a daily basis. We provide enterprise solutions that focus on compliance security integrity and cost efficiency of operating and managing EBs of Amazon data.
Key job responsibilities
CORE RESPONSIBILITIES:
Be hands-on with ETL to build data pipelines to support automated reporting
Interface with other technology teams to extract transform and load data from a wide variety of data sources
Implement data structures using best practices in data modeling ETL/ELT processes and SQL Redshift.
Model data and metadata for ad-hoc and pre-built reporting
Interface with business customers gathering requirements and delivering complete reporting solutions
Build robust and scalable data integration (ETL) pipelines using SQL Python and Spark.
Build and deliver high quality data sets to support business analyst data scientists and customer reporting needs.
Continually improve ongoing reporting and analysis processes automating or simplifying self-service support for customers
Participate in strategic & tactical planning discussions
A day in the life
As a Data Engineer you will be working with cross-functional partners from Science Product SDEs Operations and leadership to translate raw data into actionable insights for stakeholders empowering them to make data-driven decisions. Some of the key activities include:

Crafting the Data Flow: Design and build data pipelines the backbone of our data ecosystem.
Ensure the integrity of the data journey by implementing robust data quality checks and monitoring processes.

Architect for Insights: Translate complex business requirements into efficient data models that optimize data analysis and reporting. Automate data processing tasks to streamline workflows and improve efficiency.

Become a data detective! ensuring data availability and performance

- 1 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with one or more scripting language (e.g. Python KornShell)

- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 101300.00 - 160000.00 USD annually