Data Engineer
Tasks
- Build and maintain data platforms
- Collect and process large data sets
- Design scalable data platforms
- Develop data pipelines
- Encrypt data
- Ensure data accuracy and integrity
- Implement access controls
- Implement data processing workflows
- Integrate data from databases file systems and APIs
- Monitor system performance
- Optimize for high availability and scalability
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | APM | AWS | Amazon Athena | Amazon Firehose | Amazon Kinesis | Angular | Apache Druid | Apache Flink | Apache Kafka | Apache Kafka Streams | Apache NiFi | Apache Spark | Apache Spark Streaming | Apache Storm | Artificial Intelligence | Azure | Azure Event | Azure Event Hubs | Blockchain | Business Intelligence | C# | CI/CD | Cloud PubSub | Data Fusion | Data Lake | Data Modeling | Data Science | Databricks | Docker | DocumentDB | Dremio | ETL | Event Hubs | GCP | GCP Data | GCP Data Fusion | Google BigQuery | Google Cloud | Google Cloud PubSub | Grafana | GraphDB | Helm | Hive | Internet of Things | Java | Jenkins | Kafka | Kafka Connect | Kafka Streams | Kanban | Key-value | Key-value store | Kubernetes | Lakehouse | Nexus | NoSQL | PHP | Presto | Prometheus | Python | Scrum | SonarQube | Spark Streaming | Time Series | Time Series Database
Education
Roles
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