Data Engineer II
Tasks
- Build event driven streaming data solutions
- Deliver data products and dashboards
- Design batch and real-time data pipelines
- Develop data models and transformations
- Implement data quality governance and monitoring
- Improve scalability, performance, and cost-efficiency
- Lead data platform engineering track
- Perform root cause analysis and troubleshooting
- Provide technical leadership and mentorship
- Support global delivery and production support
Perks/Benefits
- Counselling sessions
- Discount vouchers on company products
- Family care leave
- Leave plan
- OPD Coverage
- Paternity leave
- Preventive health checkup
Skills/Tech-stack
APIs | Agile | Automated testing | CI/CD | Cloud platform | DBT | Data Governance | Data Lakehouse | Data Processing | Data Quality | Data Warehousing | Dataflow | DevOps | Dimensional Modeling | Event Driven | Event-driven architecture | Extract Transform | Extract Transform Load | Flink | Git | Google Cloud | Google Cloud Platform | Google Pubsub | Hive | Infrastructure as Code | Kafka | Looker | Monitoring | Observability | Power BI | PySpark | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | Spark | Spark Streaming | Tableau | “as-code”
Education
Roles
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