Data Engineer I, Amazon External Payments
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Business Intelligence
In short
Lead Data Engineering efforts for Amazon Pay, building high-performance data pipelines and translating raw data into actionable insights. You will work with cross-functional partners to support data-driven decisions and improve reporting processes.
Responsibilities
- Design, implement, and support a platform providing ad-hoc access to large data sets.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
- Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies.
- Model data and metadata for ad-hoc and pre-built reporting.
- Interface with business customers, gathering requirements and delivering complete reporting solutions.
- Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark.
- Build and deliver high quality data sets to support business analyst, data scientists, and customer reporting needs.
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
Requirements
- 1+ years of data engineering experience.
- Experience with SQL.
- 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).
- Bachelor's degree.
Desired Qualifications
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets.
Benefits
- Inclusive culture that empowers Amazonians.
- Workplace accommodation and adjustment support for individuals with disabilities during the application and hiring process.
#Data Engineering#Amazon Pay#ETL#Data Modeling#SQL#Python#Spark#Redshift#Business Intelligence#Karnataka#Bengaluru