Key skills
CloudETLPythonSQLRAIGenerative AIData WarehousingAnalyticsBusiness IntelligenceStatistical AnalysisCommunicationProblem SolvingCollaboration
About this role
Role Overview
- Build scalable data pipelines
- Design and implement data architecture and infrastructure
- Implement data management strategies and policies
- Ensure data quality and integrity
- Collaborate with cross-functional teams
- Develop data governance frameworks
- Integrate new data technologies
- Ensure compliance with data privacy regulations
- Optimize data processing workflows
- Develop analytics solutions for business decision-making
- Maintain relationships with external data vendors
- Create and maintain data documentation
- Develop and monitor key performance indicators
Requirements
- BA/BS or MBA/MS/M. Tech
- 3-5 years of experience or PhD with any experience
- Advanced Data Warehousing
- Expert SQL
- Expert Data pipelines / ETL Processes
- Expert Data Integration
- Expert Cloud Platforms
- Advanced Big Data Technologies
- Expert Data Modeling
- Advanced Visual Analytics and Business Intelligence Tools
- Advanced Data Governance
- Intermediate Data Visualization Tools
- Advanced Hands on experience with vibe coding and Generative AI
- Intermediate Programming Languages (Python, R)
- Intermediate Data Security
- Intermediate Data Quality Management
- Advanced Statistical Analysis
- Intermediate Strategic Thinking
- Intermediate Communication
- Advanced Problem Solving
- Advanced Collaboration
Tech Stack
- Cloud
- ETL
- Python
- SQL
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development