Amazon Data Engineer Finance Technology 

United States, Washington, Seattle 

711912408

Key job responsibilities
* Design, implement, and support data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc. providing secured access to large datasets.
*Interface with customers or business stakeholders, gathering requirements and delivering complete data solutions.
* Model data and metadata to support ad-hoc and pre-built reporting.
* Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
* Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
* Tune application and query performance using profiling tools and SQL.
* Analyze and solve problems at their root, stepping back to understand the broader context.* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.
* Triage possible courses of action in a high-ambiguity environment, and adopt quantitative analysis and business judgment when making design decisions.
* Mentor other engineers, influence positively team culture, and help grow the team.A day in the life

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
- Bachelor's degree
- Proficiency in at least one modern programming language such as Java, Scala, or Python.