Data Engineer , DaS FinTech

Job summary
Amazon’s Digital Finance organization has an immediate opening for a Business Intelligence Software Developer.

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo.

As a Senior Data Engineer you will be leading the charge in developing next generation software that would help finance team with data analysis and business decisions. You will work with a wide range of data technologies (e.g. MySQL, Redshift, EMR. etc.) and stay abreast of emerging technologies, investigating and implementing where appropriate.

Our ideal candidate possess a strong passion for object oriented software design and development, analytics and data modeling, sets high standards, is accurate and strives to stay ahead of a dynamic and fast growing business. The successful candidate will also demonstrate strong communication skills and possess a high level of business acumen in order to work with business owners and deliver analysis that leads to business actions. Above all the candidate is passionate about working with huge data sets and is someone that loves to answer business questions that drive change.

Key Responsibilities:

· Design, implement, and support applications that provide structured and timely access to actionable business information addressing stakeholder needs.
· Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.
· Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Consumables org and Amazon to produce complete data solutions.
· Investigate and implement new big data technologies to solve business problems where appropriate.
· Participate in developing technical strategy for turning data into actionable information.
· Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.

Basic Qualifications

• 1+ years of experience as a Data Engineer or in a similar role
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience in SQL

• BS or MS in Computer Science or related field
• At least 5 years of experience with SQL, Schema design
• At least 2 years of experience with a high level language preferably Python
• Good operating knowledge of UNIX systems
• Familiarity with unix tools like shell, awk, sed
• At least one full life-cycle project experience in each of following responsibilities:

· Design and develop systems for processing, filtering, and presenting large quantities of data with complex relationships.
· Database modelling for structured data sets having high volume and variety.
· Creating SQL scripts for one or more of Redshift, MySQL, Oracle

Preferred Qualifications

• Experience with Tableau or any other visualization tool.
• Experience with statistical analysis, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling
• Strong analytical skills, troubleshooting and problem-solving skills with passions on
• Good understanding of design for scalability, performance and reliability.
• Excellent communication skills and the ability to work well in a team.

Lab126 is part of the Amazon.com, Inc. group of companies and is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation



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.