Data Engineering Professional II
Tasks
- Build ETL/ELT processes
- Collaborate on MDM strategy
- Design and develop data pipelines
- Draft end user stories
- Ensure data privacy, security, and regulatory compliance
- Ensure data quality integrity and governance
- Implement CI CD version control and automation
- Investigate implement MDM technologies
- Monitor troubleshoot and optimize pipelines
- Optimize lakehouse architecture
- Translate requirements into technical solutions
Perks/Benefits
- Bereavement leave
- Diversity, equity, and inclusion programs
- Employee assistance program
- Employee referral program
- Group accident insurance
- Group term life insurance
- Healthcare insurance
- Hybrid working
- Learning platforms
- Maternity leave
- Paternity leave
- Reimbursements for home internet
- Reimbursements for mobile phone
Skills/Tech-stack
AWS | AWS Lambda | Amazon S3 | Apache Airflow | Apache Spark | Automation | Azure | CI/CD | Data Governance | Data Privacy | Data Processing | Data Security | Databricks | Delta Lake | Distributed data | Distributed data processing | ELT | ETL | GxP | Lakehouse | MDM | PySpark | Python | SQL | Version control
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
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