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Amazon BI Engineer II - DataTech Ops Technology Solutions 
United States, Tennessee, Nashville-Davidson 
94971521

30.03.2025
DESCRIPTION

Key job responsibilities
- Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards.
- Development of moderately to highly complex data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.)
- Development of dashboards and reports.
- Collaborating with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to gain insights into capabilities and limitations.
- Deliver minimally to moderately complex data analysis;
- Manage the timeline and deliverables of projects, anticipate risks and resolve issues.
- Adopt best practices in reporting: data integrity, test design, validation, and documentation.
- Have proven track record of launching new solutions and managing projects end to end.
- Strong verbal and written communication skills.A day in the life- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Build knowledge of latest technologies, tools, methodologies, and best practices and distill that information across the analytics organization.- Design and conduct experiments on the effectiveness and efficiency of different initiatives to improve key output metrics and help shape the long-term strategy.
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan


BASIC QUALIFICATIONS

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling