Mid/Senior Data Engineer
Tasks
- Build data ingestion pipelines
- Build data models for reporting
- Collaborate with analysts and stakeholders
- Design scalable data architecture
- Develop ELT pipelines
- Develop ETL pipelines
- Develop data processing solutions
- Implement monitoring and alerting
- Integrate data across multiple systems
- Maintain data quality and security
- Participate in code reviews
- Troubleshoot data pipeline issues
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Redshift | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | Azure | BigQuery | DBT | Data Streaming | Data Warehousing | DevOps | Docker | ELT | ETL | Event Driven | Event-driven architecture | GCP | Infrastructure as Code | Kubernetes | Message-oriented | Message-oriented architecture | NoSQL | Python | SQL | Snowflake | Test automation | “as-code”
Education
N/A
Roles
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