• Strong analytical and problem-solving skills
• High energy, ownership mindset, and accountability
• Flexible and results-oriented
• Strong communication and stakeholder management skills
• Ability to guide junior team members
• Work effectively with diverse technical and business teams
• Provide technical mentoring and best practices
• Manage multiple projects and priorities effectively
• Deliver customer-focused solutions
• Optimize performance and resource utilization
• Strong understanding of cloud-native data architecture
• Ability to communicate complex technical concepts clearly
• Experience with Agile/Scrum methodologies
• Cloud Composer (Airflow)
• Python (Pandas, NumPy, PySpark)
• SQL (advanced querying and optimization)
• Spark (Batch & Streaming)
Data Engineering & Integration
• ETL/ELT pipeline development
• Data modeling (Star & Snowflake schema)
• Real-time streaming architectures
• API integrations and REST services
DevOps & Containerization
• CI/CD (GitHub Actions, Jenkins, or similar)
• Infrastructure as Code (Terraform preferred)
Education, Experience and Certification
• Bachelor’s degree in Computer Science, Engineering, MIS, or related field
• 5–8 years of experience in Data Engineering
• 3+ years of hands-on experience with Google Cloud Platform
• 2+ years of experience building containerized applications
• Strong experience in designing and deploying data pipelines in cloud environments