Data Engineer
Tasks
- Automate data ingestion transformation and deployment
- Build and maintain data pipelines
- Build integrations with SQL databases APIs and cloud storage
- Build scalable cloud data solutions
- Collaborate with cross-functional teams on data requirements
- Design data solutions for data collection and processing
- Develop and maintain data models and data dictionaries
- Engineer structured and unstructured data processing
- Ensure data quality with ETL
- Implement ETL and ELT processes
- Implement data security and privacy measures
- Optimize spark job performance
- Troubleshoot complex data issues
Perks/Benefits
- N/A
Skills/Tech-stack
API | AWS | Apache Airflow | Apache Spark | Caching | Cloud Storage | Data Governance | Data Modeling | Data Privacy | Data Security | Data Warehousing | Data integration | Databricks | Databricks Jobs | ELT | ETL | Indexing | Job tuning | Partitioning | PySpark | Python | SQL | Spark Job Tuning | SparkSQL | Workflow Orchestration
Education
Roles
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