Sr. Data Engineer (5 PM to 2 AM IST)
Tasks
- Build and maintain scalable data pipelines
- Collaborate with stakeholders on data requirements
- Design build and manage data ingestion pipelines
- Design build and manage data transformation pipelines
- Develop and maintain automation frameworks for finance metrics
- Ingest data from multiple sources
- Monitor daily jobs and troubleshoot failures
- Optimize data pipelines and data warehouse for accuracy performance accessibility
- Provide technical insights and recommendations
- Test debug and resolve defects and performance bottlenecks
- Write and maintain data models for well modeled datasets
- Write integration tests
- Write unit tests
Perks/Benefits
- Employee networks
- Flexible work hours
- Paid Holidays
- Paid adoption leave
- Paid parental leave
- Paid vacation
- Professional development opportunities
- Volunteer opportunities
- Wellness programs
Skills/Tech-stack
Agile | Airflow | Automation Framework | CRM | DBT | Data Ingestion | Data Modeling | Data Transformation | Data pipeline | ELT | ETL | Integration Testing | Jira | Matillion | Python | SQL | Salesforce | Snowflake | Unit Testing
Education
N/A
Roles
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