Senior Data Engineer
Tasks
- Build Databricks notebooks and workflows
- Collaborate with solution architects and stakeholders
- Design scalable data pipelines
- Develop and maintain data pipelines
- Implement data quality, monitoring, and alerting
- Integrate and transform data
- Optimize data processing workloads
- Participate in code reviews and documentation
- Support platform configuration and onboarding
Perks/Benefits
- International conference attendance
- Market exposure
- Nontechnical training
- Nursery reimbursement
- Remote work
- Security compliance exposure
- Technical training
Skills/Tech-stack
AWS Glue | AWS IAM | AWS Redshift | AWS S3 | Airflow | Amazon Kinesis | Apache Iceberg | Apache Spark | DBT | Databricks | Delta Lake | Git | Kafka | PySpark | Python | SQL | Spark Structured Streaming | Structured Streaming
Education
Roles
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