Data Engineer
Tasks
- Build maintain data ingestion frameworks
- Collaborate with data scientists BI developers business analysts and product teams
- Create data models for business requirements
- Design develop optimize ETL pipelines
- Design optimize relational and NoSQL databases
- Develop and manage data lakes data warehouses data marts
- Develop maintain cloud data solutions
- Ensure compliance with regulatory requirements
- Ensure data quality data integrity governance security
- Implement data governance policies and standards
- Implement data validation monitoring observability
- Maintain metadata, lineage, and documentation
- Optimize storage and compute resources
- Perform query optimization and performance tuning
- Provide technical guidance and mentoring to junior team members
- Support realtime and batch processing architectures
- Translate business requirements into data solutions
Perks/Benefits
- Company-Paid Holidays
- Dental insurance
- Disability insurance
- Employee assistance program
- Life insurance
- Medical insurance
- Paid time off
- Personal days
- Retirement savings plan
- Sick leave
- Vision insurance
Skills/Tech-stack
AWS | Azure | Cloud platform | Data Engineering | Data Governance | Data Ingestion | Data Lake | Data Lineage | Data Mart | Data Modeling | Data Pipelines | Data Quality | Data Security | Data Validation | Data Warehouse | Database performance | Database performance tuning | ETL | Google Cloud | Google Cloud Platform | Metadata Management | Monitoring | NoSQL | Observability | Performance Tuning | Query Optimization | Relational databases | SQL
Education
N/A
Roles
Regions
Countries
States
Cities
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