Description

You will lead data science initiatives and manage scalable data infrastructure.

This role is on-site.

Responsibilities

• Design, develop, and maintain scalable data pipelines using AWS services.
• Automate data pipeline deployments and troubleshoot performance issues.
• Build and optimize ETL/ELT processes for data ingestion and transformation.
• Collaborate with business stakeholders to define and deliver data requirements.
• Enable self-serve analytics and explore Gen AI capabilities for solutions.

Required Skills

• 5+ years of experience in data science or data engineering.
• Proficiency in AWS and cloud-based data pipeline architecture.
• Strong skills in Python and ETL/ELT process optimization.
• Experience with QLIK Sense for data visualization and analytics.
• Familiarity with web automation scripting tools like Selenium.
• Knowledge of Jira workflows and API integrations.
• Competence in using Git/CodeCommit for version control.
• Understanding of AI/ML principles.

Preferred Skills

• Experience with data processing and management at scale.

Key Skills

Education

Any Graduate