100% Remote
Must be W2 or 1099
Qualifications
- Experience with cloud platform AWS and their respective data services.
- AWS experience:
- Data Storage Tools: Redshift, S3
- Automation Tools: Batch, EventBridge, Lambda, Step Functions, Glue, etc.
- MadPlotLib for Python
- Sagemaker
- Experience working closely with a Data Science team
Key Responsibilities
Design, develop, and maintain robust analytics solutions to support data-driven decision-making across the organization.
Collaborate with data scientists, analysts, and business stakeholders to understand analytical requirements and translate them into technical specifications.
Develop and maintain ETL (Extract, Transform, Load) processes to ingest and process large volumes of structured and unstructured data from various sources.
Implement and manage data models and architecture to ensure the integrity, security, and performance of analytics systems.
Optimize and troubleshoot analytics workflows to ensure data quality and system reliability.
Perform data wrangling and cleansing to prepare data for analysis and reporting.
Implement and manage data governance practices to ensure data accuracy, consistency, and compliance with regulatory requirements.
Develop and maintain dashboards, reports, and visualizations to communicate insights to business stakeholders.
Monitor and maintain analytics infrastructure, including databases, data warehouses, and cloud-based storage solutions.