Sr. Data Engineer, WW Standardization & Automation

Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting Do you excel in dynamic fast-paced environments and find joy in converting data into actionable insights Are you adept at implementing data governance practices and defining data access and quality standards If you thrive in innovation and can deliver scalable Data Engineering Solutions then the Worldwide Operations Finance Standardization & Automation (SnA) team has an exciting opportunity for you! We are seeking a customer-centric Senior Data Engineer to establish a reliable and accessible data platform ensuring Operations Finance customers have complete trust in the data technology and tools to make data-driven business decisions.

As a Senior Data Engineer in WWSNA you will be working in one of the worlds largest and most complex data warehouse environments. You will design implement and support scalable data infrastructure solutions and implement complex data models for Amazon Inbound & Outbound Transportation business. As a you will create solutions to integrate with multi heterogeneous data sources aggregate and retrieve data in a fast and safe mode curate data that can be used in reporting analysis machine learning models and ad-hoc data requests. You should have excellent business and communication skills to be able to work with business owners Product teams and Tech leaders to gather infrastructure requirements design data infrastructure build up data pipelines and data-sets to meet business needs. You will be responsible for designing developing and operating a data service platform using Python Airflow and SQL to build the various ETL analytics and data quality components. Youll automate deployments using AWS CodeDeploy AWS CodePipeline AWS Cloud Development Kit (CDK) and AWS Cloud Formation. You will work with AWS services like Redshift Glue S3 IAM CloudWatch and more.

Key job responsibilities
- Interface with other technology teams to extract transform and load data from a wide variety of data sources using Python SQL and AWS big data technologies.
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies of the team.
- Designing and implementing complex pipelines and other Data Engineering solutions.
- Work closely with business owners developers Business Intelligence Engineer to explore new data sources and deliver the data.
- Create extensible designs and easy to maintain solutions with the long term vision in mind
- Improve tools processes scale existing solutions create new solutions as required based on team and stakeholder needs

- 7 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience mentoring team members on best practices
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions

- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience with MPP databases such as Amazon Redshift
- Knowledge of distributed systems as it pertains to data storage and computing
- Deep knowledge of orchestration frameworks like step functions / Airflow.

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

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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 Bellevue - 154600.00 - 209100.00 USD annually