Big Data Engineer - Financial and Developer Services, Chronicle
New York, New York, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...Ever wondered how Amazon offers the Earth's biggest selection and still manages to offer lower prices every day to our customers? Our consumer business teams work with a massive array of selling partners and business financial performance metrics to expand selection and drive costs lower. Given the rapid growth of our business, this requires our category leaders, financial analysts, account managers, site merchandisers and vendor managers to quickly analyze vendors, merchants, categories and brands, diving deep into data showing business efficiency down to the unit sale level. The technology that enables this has huge visibility and impact and is critical to Amazon's continued profitability and growth.
Innovation
We're working on the future. If you are seeking an environment where you can drive innovation. If you want to apply state-of-the-art software technologies to solve real world problems. If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity. The responsibilities of this role will be key in paving the future of Amazon Consumer and transforming how we do business.
Key job responsibilities
You will be part of a team of creative, top-notch software developers to work hard, have fun, and make history. Software engineers at Amazon are more than just order takers; they see a problem and leverage innovative technology to address it. You will be working with very large data sets, well beyond the scalability limits of conventional relational databases. We're looking for people who innovate, love solving hard problems, and never take "no" for an answer.
Our team is within the Selling Partner Services organization and develops sophisticated tools for the Amazon Consumer businesses, supporting deep dive analysis, vendor negotiations and business planning towards enhancement at the bottom line. We also provide financial and operational reports to Amazon retail vendors worldwide.
Basic Qualifications
• Bachelor’s degree in computer science, engineering, mathematics, or a related technical discipline
• Hands-on experience and advanced knowledge of SQL and query performance tuning skills.
• Basic scripting skills using Python
• 1+ years of experience as a Data Engineer or in a similar role
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
• Experience working with AWS big data technologies (EMR, Redshift, S3, AWS Glue, Kinesis and Lambda)
• Knowledge of data management fundamentals and data storage principles
• Knowledge of distributed systems as it pertains to data storage and computing
• Effective analytical, troubleshooting and problem-solving skills
Preferred Qualifications
• Masters in computer science, or related technical quantitative field• 3+ years of experience as a Data Engineer in a company with large, complex data sources.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• ETL development experience on large datasets (terabytes in size)
• Creating queries in hive, scala, presto or other big data platforms
• Development experience in one of the programming languages (Java) is a plus
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Big Data Computer Science Data management Data Warehousing Distributed Systems Engineering ETL Hadoop HBase Kinesis Lambda Mathematics Pipelines Python RDBMS Redshift Scala Spark SQL Testing
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