DESCRIPTION

Amazon Photos helps consumers preserve and re-live their memories. The service comes with unlimited photo storage for Prime members and apps are available on iOS, Android, Web, Desktop, Fire Tablet & Fire TV. The service is also integrated into Alexa devices such as Echo Show and Echo Spot. Amazon Photos is the latest digital offering to consumers released on the heels of the Amazon Music and Amazon Video offerings. We have ambitious goals to scale growth and adoption of the service around the world and delight our customers with a great product.
Why you want to be on the Photos team: We’re technology professionals, photographers and photo enthusiasts who are genuinely passionate about how we can make preserving and re-living digital photographs a simple joy. We’re a close-knit team of friendly, collaborative people. We’re super smart and love learning.
What you will do? As a Data Engineer on our team, you’ll work with latest and greatest technologies and complex data environments with petabyte scale. You’ll be responsible for enhancing our existing data architecture to further standardize metrics and definitions, developing end-to-end data engineering solutions for complex analytical problems. You should have excellent business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics.
This role requires you to live at the intersection of data, software, and science. We leverage a comprehensive suite of AWS technologies, with key tools including S3, Redshift, , EMR, Glue, Iceberg, SageMaker, Athena etc. You will drive the development process from design to release.

Key job responsibilities

• Create scalable data models for effective data processing, storage, retrieval, and archiving.
• Manage data ingestion from heterogeneous data sources, with automated data quality checks.
• Develop and manage ETLs to source data from various systems and create unified data model for analytics and reporting.
• Manage numerous requests concurrently and strategically, prioritizing when necessary.
• Partner/collaborate across teams/roles to deliver results.
• Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python/Scala, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc.

BASIC QUALIFICATIONS

• 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)

PREFERRED QUALIFICATIONS

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Bachelor’s degree
  Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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

• Create scalable data models for effective data processing, storage, retrieval, and archiving.
• Manage data ingestion from heterogeneous data sources, with automated data quality checks.
• Develop and manage ETLs to source data from various systems and create unified data model for analytics and reporting.
• Manage numerous requests concurrently and strategically, prioritizing when necessary.
• Partner/collaborate across teams/roles to deliver results.
• Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python/Scala, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc