Vacancy expired!
- Hosting Capacity (iGRID) Support and collaborate with application developers, database architects, data analysts and data scientists.
- Ensure optimal data delivery architecture throughout ongoing projects/operations.
- Design, build, and manage analytics infrastructure that can be utilized by data analysts, data scientists, and non-technical data consumers, which enables functions of the big data platform for Analytics.
- Develop, construct, test, and maintain architectures, such as databases and large-scale processing systems that help analyze and process data in the way the Analytics organization requires.
- Develop highly scalable data management interfaces, as well as software components by employing programming languages and tools.
- Work closely with a team of Data Science staff to take existing or new models and convert them into scalable analytical solutions.
- Design, document, build, test and deploy data pipelines that assemble large complex datasets from various sources and integrate them into a unified view.
- Identify, design, and implement operational improvements: automating manual processes, data quality checks, error handling and recovery, re-designing infrastructure as needed.
- Create data models that will allow analytics and business teams to derive insights about customer behaviors.
- Build new data pipelines, identify existing data gaps, and provide automated solutions to deliver analytical capabilities and enriched data to applications.
- Responsible for obtaining data from the System of Record and establishing batch or real-time data feed to provide analysis in an automated fashion.
- Develop techniques supporting trending and analytic decision-making processes.
- Apply technologies for responsive front-end experience
- Ensure systems meet business requirements and industry practices.
- Research opportunities for data acquisition and new uses for existing data.
- Develop data set processes for data modeling, mining, and production.
- Integrate data management technologies and software engineering tools into existing structures.
- Employ a variety of languages and tools (e.g., scripting languages)
- Degree in Computer Science, Engineering, or related fields
- 8-15 years of experience
- EMR, Spark, SQL, Python
- Terraform/CloudFormation
- RDS, S3, Kinesis, Glue, EC2, Hadoop
- Medical Insurance
- Dental Insurance
- Vision Insurance
- 401(k) Plan
- Vacation Package
- Life & Disability Insurance Plans
- Flexible Spending Accounts
- Tuition Reimbursement
Vacancy expired!