Senior Data Engineer
Tasks
- Build and maintain data pipelines
- Design data models for analytics warehouse
- Develop and support data environment
- Document pipelines and data models
- Ensure data quality and availability
- Implement ETL and ELT workflows
- Ingest data from SQL Server PostgreSQL and APIs
- Integrate new data sources
- Monitor and troubleshoot production data pipelines
- Optimize SQL queries and transformations
- Perform data cleaning normalization validation
- Support after hours critical data issues
Perks/Benefits
- Career path
- Collaborative work environment
- International customer exposure
- Mentorship
- Professional development
Skills/Tech-stack
API Integration | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Blob Storage | Cloud Storage | Data Architecture | Data Factory | Data Modeling | Data Normalization | Data Pipeline Monitoring | Data Quality | Data pipeline | Data replication | ELT | ETL | Fivetran | Hevo | JSON | NumPy | Pandas | Pipeline monitoring | PySpark | Python | SQL | Scheduled Processing | Snowflake | Stitch
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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