Amazon Data Engineer II Monetization Product Engineering 

United States, New York, New York 

676425880

Key job responsibilities
In this role, you will have the opportunity to display and develop your skills in the following areas:
- Design, implement, and support an analytical platform providing approved access to large datasets and computing power
- Managing AWS resources including Redshift, Glue, Lambda, MWAA (managed Airflow etc.- Build robust and scalable data integration (ETL) pipelines using SQL, Python / Java, and Spark.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
A day in the life- Leverage new cloud architecture and data engineering patterns to ingest, transform and store data.
- Build and deliver high quality data solutions to support analysts, engineers and data scientists.

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- 4+ years of SQL experience
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Familiarity with AWS, relational DBs, and no SQL databases.