Zingtree is seeking a Senior Data Engineer to design, build, and maintain scalable data processing systems and analytics platforms. The role involves leading data infrastructure solutions to support growing data needs and business intelligence requirements.
Requirements
- Design and implement efficient data storage and processing solutions for large-scale datasets
- Develop and optimize data pipelines for event data ingestion and processing
- Evaluate and integrate open-source technologies like Apache Druid, Spark, or similar tools based on project requirements and performance needs
- Work closely with backend engineering teams using Go in a Kubernetes environment
- Optimize query performance and data access patterns for analytics platforms
- Design and implement data models that support business intelligence needs and facilitate efficient reporting capabilities
Benefits
- Competitive Compensation
- Equity stock options
- Comprehensive health insurance for employees and dependents
- Provident Fund contributions in compliance with EPF guidelines
- Generous Paid Parental Leave
- Unlimited PTO
- Flexible Remote Work
- Home Office Stipend
- Co-working Reimbursement