DESCRIPTION

North America Consumer is one of Amazon’s largest businesses, including North America retail and third party sellers, as well as an array of innovative new programs including Alexa Shopping and Amazon Business. The NA Consumer Finance organization is looking for an outstanding Data Engineer to build a robust and scalable data platform to support analytical and data capability for the team.

As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments using the latest suite of AWS toolsets. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You should be expert at designing, implementing, and maintaining stable, scalable, low cost data infrastructure. In this role, you will build datasets that analysts and BIE use to generate actionable insights. You should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.

The successful candidate will be an expert with SQL, ETL (and general data wrangling) and have exemplary communication skills. The candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.

Responsibilities

You know and love working with data engineering tools, can model multidimensional datasets, and can understand how to make appropriate data trade-offs. You will also have the opportunity to display your skills in the following areas:
· Design, implement, and support a platform providing access to large datasets
· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
· Own, maintain and scale a Redshift cluster and manage other AWS Resources
· Model data and metadata for ad hoc and pre-built reporting
· Collaborate with Business Intelligence Engineers and Analysts to deliver high quality data architecture and pipelines
· Recognize and adopt best practices in engineering and operational excellence: data integrity, validation, automation and documentation
· Create coherent Logical Data Models that drive physical design

We are open to hiring candidates to work out of one of the following locations:

Bangalore, KA, IND

BASIC QUALIFICATIONS

- 5+ 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

PREFERRED QUALIFICATIONS

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses