Amazon Data Engineer Payment Acceptance & Experience 

United States, Washington, Seattle 

707541883

- 1+ 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)- Knowledge of AWS Infrastructure

About the RoleAs a Data Engineer I, you will design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics, reporting and machine learning. You will leverage your expertise in data pipelines and persistence to build systems and tools that lower the cost of performing advanced analysis while also expanding the number and types of analyses that can be performed. You will take the lead in identifying architecture deficiencies, and solving for the same by building cutting edge software solutions.Key job responsibilities
• Implement data ingestion routines, both real time and batch using best practices in data modeling
• Develop ETL/ELT processes leveraging AWS technologies and Big data tools.
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.
• Analyze source data systems and drive best practices in source teams.
• Participate in the full development life cycle, from design, implementation and testing, to documentation, delivery, support, and maintenance.
• Produce comprehensive, usable dataset documentation and metadata.
• Evaluate and make recommendations around dataset implementations designed and proposed by peer data engineers.
• Evaluate and make recommendations around the use of new or existing software products and tools.Seattle, WA, USA

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.