Data Engineer I, Devices Sales & Marketing, Devices Sales & Marketing

- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Knowledge of distributed systems as it pertains to data storage and computing
- Knowledge of cloud services such as AWS or equivalent

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/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.
Do you want to build the premium shopping experiences for millions of Amazon customers? Do you want to work on performance challenges for providing the best recommendations in less than 200 milliseconds, given millions of customers and millions of products? Are you interested in working on delivering data to Machine Learning and data science, believing every customer should not have the same experience? Amazon has a role or you.

As an Amazon.com Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should be an expert in the architecture of DW solutions for the Enterprise using multiple technologies (RDBMS, Columnar, Cloud). You should excel in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all 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.

Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of understanding manipulation, 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 leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2 and other big data technologies
Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space.
Strong ability to interact, communicate, present and influence within multiple levels of the organization
Excellent communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions
A desire to work in a collaborative, intellectually curious environment.

Key job responsibilities
- Architecture design and implementation of next generation data pipelines and BI solutions.
- Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
- 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


A day in the life
A Data Engineer works closely with business teams to identify opportunities and build efficient solutions using various platforms like Redshift,AWS,Spark etc
1)They interface with business customers to gather requirements and build Data pipelines to drive key business decisions .
2)Building scalable data pipelines and architecture while sourcing data from varied sources including APIs, File Systems, and RDBMS
3) Monitoring and troubleshooting operational issues in data pipelines

About the team
We enable sophisticated, fact-based decision making across Devices Sales and Marketing by delivering constantly evolving technology and analytic capabilities. This team will solve challenging and novel problems every day and have the opportunity to redefine customer obsession and trust.