India onlyDesign and deploy features for our cloud-based Data Lake and our Customer Lifetime Value (CLV) product in an agile, test-driven environment. Build scalable data-processing pipelines in the cloud using technologies like Apache Spark, Hive, BigQuery, micro-services, Kubernetes. Use Python and SQL to analyze digital marketing performance.
Requirements
- 5+ years of data engineering and development experience
- Passionate about data with a strong ability to learn new technologies
- Strong ability to learn new technologies
- Successful completion of a degree in computer science, software engineering or applied statistics or similar
- Expert level experience with Google cloud platform, BigQuery and SQL
- Familiarity with big data technologies like Spark and Hive, event-driven architectures (e.g. Pub/sub, Kafka)
Benefits
- Encouraged personal development
- Individual external and internal training
- Conference visits
- Regular appraisals
- Hybrid work model
- Scheduled office check-ins to foster collaboration and team alignment
- Opportunity to work with leading national and international eCommerce companies
- Accommodation provided for international work assignments
