Key Responsibilities
- Design, build, and maintain scalable data pipelines and ETL processes
- Develop and optimize data models for analytics and reporting
- Collaborate with cross-functional teams to identify data requirements
- Ensure data integrity, quality, and security across systems
- Implement and maintain data warehousing solutions
- Analyze large datasets to derive actionable business insights
Requirements
- 3+ years of experience in data engineering or analytics
- Proficiency in SQL, Python, and big data technologies
- Experience with data warehousing and ETL tools
- Strong problem-solving and analytical skills
- Familiarity with cloud platforms (AWS/GCP/Azure) is a plus