Senior Data Engineer (Pyspark, AWS EMR, Airflow, SQL, Data Warehousing, ETL, Spark)
Tasks
- Advise on data source utilization
- Align data exchange formats and interfaces
- Collaborate in agile cross-functional team
- Design data integration pipelines
- Develop big data applications
- Ensure pipeline scalability efficiency maintainability
- Implement data architecture and components
- Improve data reliability and quality
- Orchestrate data workflows
- Support AI based workflow integration
- Test and deploy data pipelines
Perks/Benefits
- Career development opportunities
- Employee Assistance Program (EAP)
- Financial wellness tools
- Flexible working environment
- LinkedIn Learning
- Volunteer time off
- Wellness plans
Skills/Tech-stack
AWS | AWS Lake Formation | AWS Lambda | Airflow | Amazon EMR | Amazon S3 | Apache Iceberg | CI/CD | Data Lake | ETL | GitHub | GitLab | Java | Lake Formation | PySpark | Python | SQL | Scala | Source Control | Spark | Terraform
Education
N/A
Roles
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