Sr.Data Engineer

Amazon’s Payments organization is looking for a talented data engineer to help build/enhance the platform to drive the development of analytics and insights. As a Senior Data Engineer, you will develop new data engineering patterns that leverage new cloud architectures, and will extend or migrate existing data pipelines to the architectures as needed. You will also be assisting with integrating the Redshift platform as our primary processing platform to create the curated Amazon.com data model for the enterprise to leverage. You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making.

You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and sparring partner, developing analytics and insights that global executive management teams and business leaders will use to define global strategies and deep dive businesses. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred.

Responsibilities include but not limited to:
· Define and develop business critical metrics and reports across all international business levers, key performance indicators, and financials.
· Own alignment and standardization of analytical initiatives across the global business teams
· Drive efforts across international business leaders, BI leaders and partners across Europe, Asia and North America.
· Own key executive reports and metrics that are consumed by our VPs and Directors
· Provide thought leadership in global business deep dives across a variety of key performance indicators
. Be one of the key builders of the “Business Insights platform” that will be used by global teams worldwide to access reporting, deep dives, and seller insights.
. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.

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

. Translate data into actionable insights for the stakeholders.


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

Basic Qualifications

Basic Qualifications
· Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
· 6+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
· Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
· Experience using business intelligence reporting tools (Tableau, Business Objects, Cognos, etc.)
· A desire to work in a collaborative, intellectually curious environment.

Preferred Qualifications

Preferred Qualifications Preferred Qualifications
. Master's degree in computer science, engineering, mathematics, or a related technical discipline
· 7+ years of industry 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.
· Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
· Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)
· Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
· Experience building data products incrementally and integrating and managing datasets from multiple sources
· Query performance tuning skills using Unix profiling tools and SQL
· Experience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
· Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
· Linux/UNIX including to process large data sets.
· Experience with AWS, cloud computing