Job Information
Amazon BI Engineer II, AWS Fintech in Dallas, Texas
Description
Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to build data engineering solutions that process billions of records a day in a scalable fashion using AWS technologies? Do you want to create the BI dashboards that drives actionable insights for intuitive data access? If so, AWS Finance Technology (AWS FinTech) is for you!
AWS FinTech is seeking a Business Intelligence Engineer to join the team that is shaping the future of the finance data platform. The team is committed to building the next generation BI platform to support AWS's rapidly growing and dynamic businesses, and use it to deliver the insights which will have an immediate influence on day-to-day decision making. Amazon has culture of data-driven decision-making, and demands data that is timely, accurate, and actionable. Our platform serves AWS finance, tax and accounting functions across the globe.
The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and the ability to work in a fast-paced environment. You will consult, design, build and manage analytical projects with your customer in mind. You should have a strong expertise and proven success in the design, creation, management, and business use of extremely large datasets. You should be experienced at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications or reports. Above all you should be passionate about inventing on behalf of your customers while learning new solutions to answer business questions to drive tangible change.
Key job responsibilities
The successful candidate will demonstrate good business acumen, experience in developing reports and conducting analysis, strong communication skills, an ability to work effectively with cross functional teams, and an ability to work in an ever-changing environment.
Interfacing with business customers to gather data and metrics requirements, then driving analytic projects which will help solve complex challenges.
Design, implement, and support key datasets that provide structured and timely access to actionable business information.
Perform deep-dives to find the root causes behind variances of key parameters.
Experience working in a very large data warehouse environment and multi data sources.
Analyzing data and driving insights related to operation and compliance.
Build data pipelines for the customers to self-serve very seamlessly.
Investigate and implement new big data technologies to provide automatic resolutions to address stakeholder needs.
We are open to hiring candidates to work out of one of the following locations:
Dallas, TX, USA
Basic Qualifications
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
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 using AWS technologies such as Redshift, S3, Glue, MWAA (Airflow) data pipelines.
Preferred Qualifications
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Working knowledge of Python/Java or similar coding languages is a plus.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.