Amazon Data Engineer Customer eXperience Impressions 

United States, Washington, Bellevue 

46611817

As a Data Engineer, you will be operating in one of the world's most complex data environments. You will be working with a cross-functional team to design, build, and maintain streaming and batch data applications to build datasets which influence millions of customers and sellers around the world. You will work directly with your data customers to collect requirements and provide guidance on their wide range of applications for your products. You'll regularly work with AWS services like EMR, MSK, Glue, Redshift, Athena, S3, SNS, and SQS as you build new data products.
Key job responsibilities- Build fault-tolerant and high-performing streaming and batch data pipelines using a wide range of technologies such as Apache Spark, Flink, Kakfa, and Airflow.- Implement ETL solutions leveraging a variety data sources using SQL, Scala, Spark, Flink, and AWS technologies.
- Continuously improve data quality and reduce operations through automation and CI/CD.
- Mentor junior engineers to improve their understanding of your domain and enhance their skills.

- 3+ years of data engineering experience
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with data modeling, warehousing and building ETL pipelines
- Experience working on and delivering end to end projects independently
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience with Redshift, Oracle, NoSQL etc.