Role Overview
We are seeking a Data Scientist to support a mission-critical Sponsor environment focused on processing, transforming, analyzing, and managing complex datasets.
What You Will Do
Design, develop, and maintain data processing and ETL workflows for structured and unstructured datasets, perform data mapping, extraction, transformation, loading, standardization, and validation across multiple data sources.
Why It Might Be a Fit
The ideal candidate will have strong hands-on experience with Spark, PySpark, Python, SQL, ETL processes, and big data technologies, along with experience developing analytic reports and working directly with customers and integration partners to understand technical objectives.
Requirements
- Demonstrated experience with big data processing technologies including Spark, PySpark, and Python
- Demonstrated experience with data mapping, extraction, transformation, and loading (ETL)
- Experience developing analytic reports using tools such as CloudWatch and Kibana
- Experience processing and converting operating system and data logs into reports, metrics, and dashboards
- Experience using Regular Expressions (RegEx)
- Experience with SQL, MySQL, and PostgreSQL
- Experience processing XML and JSON data formats
- Experience with IDEs and data modeling through notebooks and Visual Studio
- Experience transforming disparate structured and unstructured data into enriched, query-friendly structured datasets
- Experience performing extensive data review and data quality analysis
- Experience developing ETL design documentation, including source-to-target mapping and data dictionary information
- Experience interfacing with customers and integration partners to gather and clarify detailed objectives
- Experience supporting Agile development, including task definition, scoping, and review
Benefits
- 100% Company-Paid Health Insurance
- Protection Plans
- 401(k) Retirement Contribution
- Paid Time Off
- Bonuses
To apply for this job please visit jobs.workable.com.
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