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Description

Data Engineer will build a world-class data platform and deploy scalable business intelligence tools for ADS teams. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. He/she is an expert with data modeling, ETL design and business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure create outsized business impact. He/she is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail) and enjoys working in a fast-paced team. The ideal candidate needs to possess exceptional technical expertise in large scale data warehouse and BI systems with hands-on knowledge on SQL, Distributed/MPP data storage, Hadoop and AWS services.

Key job responsibilities

· Design, implement, and support a platform providing ad hoc access to large datasets

· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL

· Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Oracle, Redshift, and OLAP technologies

· Model data and metadata for ad hoc and pre-built reporting

· Interface with business customers, gathering requirements and delivering complete reporting solutions

· Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark.

· Build and deliver high quality datasets to support business analyst and customer reporting needs.

· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

· Participate in strategic & tactical planning discussions, including annual budget processes

A day in the life

Work on product, program, and/or project management in leading cross-functional teams to continuously improve the business and define what is next

About the team

ADS holds a key position in the Alexa experience for our customers by being the provider of ground truth data for training the models that generate this experience.

Basic Qualifications

• 3+ years of data engineering experience

• Experience with data modeling, warehousing and building ETL pipelines

• Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets

• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

• Experience with SQL

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.