Senior Data Engineer
Tasks
- Build change data capture ingestion
- Collaborate with Product Engineering DevOps on data solutions
- Create API data access patterns versioning documentation
- Design ETL/ELT pipelines
- Establish data quality monitoring alerting observability
- Implement multi tenant data isolation
- Investigate data integrity and availability issues
- Mentor teammates and share engineering best practices
- Model lakehouse schema
- Tune pipelines for reliability performance cost
Perks/Benefits
- Family obligation days
- Flexible work
- Health and dental coverage
- Hybrid work model
- Mental health and wellness support
- Paid sick days
- Paid volunteer day
- Recognition programs
- Telemedicine access
Skills/Tech-stack
AWS Athena | AWS DMS | AWS Glue | AWS S3 | Amazon Kinesis | Amazon SQS | Apache Iceberg | Apache Kafka | Apache Spark | Change Data Capture | DBT | Data Capture | Data Governance | Data Modeling | Data Observability | Data Quality | Data Warehousing | Data quality monitoring | Delta Lake | ELT | ETL | Lakehouse | Pipeline Automation | PySpark | Quality monitoring | SQL
Education
Roles
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