Related skills
etl sql predictive modeling data warehousing llms📋 Description
- Design scalable data pipelines, architectures, and analytics.
- Deliver end-to-end data solutions from ingestion to activation.
- Integrate data across CDPs, CRM, and media platforms for marketing use cases.
- Translate business requirements into technical solutions and implementation plans.
- Define data architecture standards (modeling, governance, security) and optimize performance.
- Apply ML and AI-powered data solutions (segmentation, predictive modeling, LLMs).
🎯 Requirements
- A Bachelor's degree in Computer Science, Information Systems, or related field.
- 7+ years in data engineering/analytics with leadership.
- Expertise in analytics, SQL, ETL, data warehousing, and cloud services.
- Data modeling, analysis techniques, and data management best practices.
- Experience with data activation on media platforms using CDP.
- Excellent communication and client-facing problem-solving skills.
🎁 Benefits
- Private healthcare coverage
- Provident fund contributions and gratuity after five years
- Flexible PTO and work-life balance
- Generous training budgets and certifications
- Inclusive and safe environment
- DEI-focused programs
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