Data Engineer I, Amazon Last Mile
Amazon
2 - 5 years
Hyderabad
Posted: 2/5/2025
Job Description
As part of the Last Mile Science & Technology organization, you’ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network.
You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end
- to
- end last mile planning systems.
You will develop complex data engineering solutions using AWS technology stack (S3, Glue, IAM, Redshift, Athena).
You should have expertise and passion in working with large data sets, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns.
You will work with business owners to develop and define key business questions and requirements.
Analytical ingenuity, business acumen, effective communication capabilities, and the ability to work effectively with cross
- functional teams in a fast
- paced environment are critical skills for this role.
Key job responsibilities
• Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc.
• Extract huge volumes of structured and unstructured data from various sources (Relational /Non
- relational/No
- SQL database) and message streams and construct complex analyses.
• Develop and manage ETLs to source data from various systems and create unified data model for analytics and reporting
• Perform detailed source
- system analysis, source
- to
- target data analysis, and transformation analysis
• Participate in the full development cycle for ETL: design, implementation, validation, documentation, and maintenance.
Basic Qualifications
- 2+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- 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.
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.
About Company
Amazon is a multinational technology and e-commerce company founded by Jeff Bezos in 1994. Initially focused on selling books online, it quickly expanded into a broad range of products and services, including electronics, cloud computing (via Amazon Web Services), streaming, and artificial intelligence. Amazon has revolutionized online shopping with fast delivery, personalized recommendations, and a subscription service called Amazon Prime. It is one of the world's largest and most valuable companies, with a significant impact on retail, technology, and logistics.
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