BI Engineer

Amazon.com, Inc.
Spain
about 1 month ago
Apply on es.trabajo.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Elastic Compute Cloud Amazon S3 Data Analysis Big Data Databases Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Mining Data Visualization Data Warehousing
+10 more
Amazon DynamoDB Python (Programming Language) NoSQL Oracle (Applications) SQL Databases Tableau (Software) Data Processing Scripting Information Technology Amazon Redshift

Requirements

Description EU 3P Expansion is looking for a talented and highly motivated BI Engineer to join our team and be part of our mission to improve the Customer and Selling Partner experience across expansion marketplaces. This role offers a unique opportunity to be part of a Day-1 organization, and provides a dynamic, innovative and fast-paced environment to constantly build your skillset and address new challenges. Key job responsibilities - Partner with program managers & Account managers and dive deep on data to address business problems and drive business goals - Design and implement automated reporting solutions to enable Program Managers/AMs to drive the adoption of various programs /initiatives - Develop and monitor the business metrics, while partnering with internal and external teams to identify process improvement opportunities - Collaborate with other BI engineers/teams to adopt best practices. - Fostering culture of continuous improvement through automation and self serve dashboards - Design, develop, and maintain scalable data infrastructure and ETL pipelines to support business intelligence initiatives using automated dashboard solutions - Leverage AI and emerging innovation in data infrastructure to automate repetitive workflows, accelerate analyses, and unlock new patterns from complex datasets - Mentoring and contributing to team’s improvement Basic Qualifications - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience in analytics, data engineering or business intelligence from a large scale business enterprise Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Master’s degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Experience working as a BIE in a technology company - Experience with Python or R Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on es.trabajo.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:04 min

Introduction to Bitcoin script parsing tools

Steve Shadders · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

Videos

See all

Related articles

See all