Amazon Data Engineer Devices Sales & Marketing 

United States, Washington, Bellevue 

125544606

Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Experience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2 and other big data technologies
Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space.
Strong ability to interact, communicate, present and influence within multiple levels of the organizationKey job responsibilities
- Architecture design and implementation of next generation data pipelines and BI solutions.A day in the life1)They interface with business customers to gather requirements and build Data pipelines to drive key business decisions .
2)Building scalable data pipelines and architecture while sourcing data from varied sources including APIs, File Systems, and RDBMS
3) Monitoring and troubleshooting operational issues in data pipelines

- 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)
- Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Knowledge of distributed systems as it pertains to data storage and computing
- Knowledge of cloud services such as AWS or equivalent