Data Engineer
Tasks
- Automate data processing
- Build ETL/ELT processes
- Design scalable data pipelines
- Develop data warehouses and data lakes
- Ensure data accuracy and integrity
- Follow version control and CI CD
- Implement data governance, security, and compliance
- Improve data infrastructure continuously
- Integrate data from APIs and databases
- Maintain data documentation
- Monitor, troubleshoot, and optimize data workflows
- Optimize database queries
- Perform code reviews
- Provide structured datasets for analytics and reporting
- Set up data validation monitoring and alerting
- Support business intelligence initiatives
- Translate business requirements into technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Lambda | Amazon Web Services | Apache Airflow | CI/CD | Cloud platform | DBT | Data Governance | Data Modeling | Data Monitoring | Data Quality | Data Validation | Data Warehousing | Dimensional Modeling | ELT | ETL | Fivetran | Google Cloud | Google Cloud Platform | Informatica | Java | Microsoft Azure | NoSQL | Python | Relational databases | SQL | Scala | Snowflake | Talend | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science
Roles
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