Data Engineer
Tasks
- Build batch streaming and lambda architectures
- Collaborate with Data Science and Analytics
- Design data pipelines
- Develop ETL/ELT processes
- Document data flows
- Ensure data quality
- Implement data models and schemas
- Ingest and transform data
- Integrate data components with APIs and storage engines
- Orchestrate data workflows
Perks/Benefits
- Access to cloud technologies
- Certification support
- Flexible work arrangements
- Professional development opportunities
- Technical training
Skills/Tech-stack
AWS | Agile | Apache Airflow | Apache Spark | Azure | Azure Data | Azure Data Factory | CI/CD | Cloud Architecture | Cloud platform | Data Factory | Data Ingestion | Data Modeling | Databricks | Delta Lake | Docker | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Luigi | Machine Learning | NLP | PySpark | Python | SQL | Spark Streaming
Education
N/A
Roles
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