SAIC
Location
Kansas | United States
Job description
Description
SAIC is seeking a Business Intelligence Engineer with experience in building dashboards and data/ETL pipelines and working with AWS QuickSight.
This is a 100% Remote role.
Key Responsibilities of this job include:
- Build dashboards in AWS QuickSight, Tableau and/or Power BI to visualize key performance indicators including cost, volumes and timeliness
- Build data pipelines in AWS Glue Studio or AWS Glue (as a developer)
- Provisions and manages appropriate data and visualization AWS services across multiple environments (Dev through Production); expertise with CloudFormations required.
- Manages all aspects of end-to-end data processing. Maintains analytical systems, verifies the accuracy of the data and acts as liaison with business
- Works independently as part of focused Analytics team to meet aggressive project schedules.
- Supports Scrum process, including daily standups, status tracking in JIRA, github code check-ins and reviews.
- Interacts with team members to improve our engineers’ tools, technology stack, and application performance and stability.
- Provides support to project stakeholders. Has strong knowledge of real time operations, transaction curves and data processing metrics.
Qualifications
Required Experience and Education:
Analyzing and interpreting data in Redshift, MongoDB, etc.
Must have Experience with data visualization using AWS Quicksight. Experience with Tableau, Power BI or similar is helpful also.
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
Job tags
Salary