Data Engineer II
Tasks
- Build batch and real-time data pipelines
- Deliver data products and dashboards
- Design event driven and streaming data solutions
- Develop data models and transformations
- Establish data quality governance observability and monitoring
- Improve scalability, performance, and cost-efficiency
- Lead design and code reviews for engineering best practices
- Perform root cause analysis and troubleshoot data issues
- Provide technical mentorship to engineers
Perks/Benefits
- Counseling sessions
- Employee discounts
- Family care leave
- OPD Coverage
- Paid leave
- Paternity leave
- Preventive health checkup
Skills/Tech-stack
Agile | Airflow | Apache Flink | Apache Hive | Apache Spark | Automated testing | CI/CD | DBT | Data Governance | Data Lakehouse | Data Modeling | Data Quality | Data Warehouse | Dataflow | DevOps | Dimensional Modeling | ETL | Flink SQL | Git | Google Pub/Sub | Hive | Infrastructure as Code | Kafka | Monitoring | Observability | Pub/Sub | PySpark | Python | SQL | “as-code”
Education
Roles
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