Data Engineer – Senior
Tasks
- Build data products
- Build stream processing applications
- Collaborate with teams on data needs
- Design data pipeline architecture
- Develop ETL pipelines
- Ensure data quality
- Implement monitoring and alerting
- Model and source data from APIs
- Optimize pipeline performance
- Perform feature engineering
Perks/Benefits
- Additional day off
- Comprehensive mental health programme
- Corporate events
- Flexible working hours
- Free online English lessons
- Full-time remote work
- Generous referral program
- Internal workshops
- International professional conferences
- Private insurance
- Sports program compensation
- Training opportunities
Skills/Tech-stack
AWS | Alertmanager | Apache Airflow | Apache Spark | Azure | Cassandra | Change Data Capture | ClickHouse | Containerization | Data Capture | Data Lakes | Data Lineage | Data Marts | Data Quality | Data Quality Validation | Data Transformation | Data Warehouses | Debezium | Delta Lake | ETL | Elasticsearch | Feature Engineering | GCP | Grafana | HBase | Java | Kafka | Kafka Streams | Kubernetes | MongoDB | MySQL | NoSQL | OCI | PostgreSQL | Prometheus | Python | Quality validation | Scala | Solr | Spark Streaming
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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