Senior Data Engineer
Tasks
- Apply infrastructure as code for data pipelines
- Build data ingestion pipelines
- Build dbt SQL models
- Create AI-ready datasets
- Design data platform on Databricks and AWS
- Develop ETL/ELT pipelines
- Govern metadata lineage and permissions
- Implement data quality, monitoring, and alerting
- Integrate with REST APIs
- Maintain reverse sync across systems
- Manage Golden Record identity resolution
- Model data using medallion architecture
- Set up CI CD and version control for pipelines
Perks/Benefits
- Bonus opportunities
- Employee well-being programs
- Paid Holidays
- Paid time off
- Work-life balance programs
Skills/Tech-stack
AWS | Athena | CI/CD | DBT | Databricks | Delta Lake | Delta Live Tables | Delta Live) | DynamoDB | ECS Fargate | EventBridge | Git | Glue | IAM | Infrastructure as Code | Lambda | Parquet | PySpark | Python | REST API | S3 | SQL | Step Functions | Unity Catalog | “as-code”
Education
N/A
Roles
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