Data Engineer
Tasks
- Build data pipelines
- Collaborate with architects on data solutions
- Create and validate data prototypes
- Design data models
- Develop scalable reliable secure data platforms
- Improve machine learning pipeline performance
- Ingest transform and consolidate data
- Integrate structured and unstructured data
- Maintain data strategy documentation
- Monitor and optimize data pipelines
- Work with Scrum teams on data understanding
Perks/Benefits
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Batch Processing | Data Architecture | Data Compression | Data Factory | Data Ingestion | Data Lake | Data Modeling | Data Monitoring | Data Security | Data Transformation | Data archiving | Data pipeline | Data redundancy | Data replication | Databricks | Delta Lake | Distributed Processing | Elasticsearch | Incremental loading | Logging | MongoDB | Parallel processing | Partitioning | PySpark | Python | SQL | SQL Server | Scala | Star Schema | Stream processing
Education
N/A
Roles
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