Senior Data Engineer
Tasks
- Build data pipelines
- Build integrations with data sources
- Build scalable cloud data solutions
- Collaborate with cross-functional teams
- Design data solutions
- Develop data models
- Ensure data security and privacy
- Execute data governance initiatives
- Identify and resolve data challenges
- Implement ELT processes
- Implement ETL processes
- Implement automated workflows for data pipelines
- Improve data quality
- Ingest transform and process datasets
- Maintain data dictionaries
- Maintain data pipelines
- Monitor and schedule data pipelines
- Optimize spark job performance
- Participate in sprint planning and estimations
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Apache Airflow | Apache Spark | CCPA | Caching | Cloud Storage | Data Governance | Data Modeling | Data Privacy | Data Quality | Data Security | Data Warehousing | Data integration | Databricks | Databricks Jobs | ELT | ETL | GDPR | Indexing | Job tuning | Partitioning | PySpark | Python | SQL | Spark Job Tuning | SparkSQL | Workflow Orchestration
Education
Roles
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