Head of Data Engineering

Tasks

• Automate data workflows
• Build and mentor data engineering teams
• Define data architecture strategy
• Design ETL/ELT workflows
• Design secure data pipelines
• Ensure data reliability security governance performance
• Implement CI/CD for data pipelines
• Improve data quality accessibility
• Lead scalable data platform engineering
• Partner with stakeholders for scalable data solutions
• Select cloud platforms and data engineering tools
• Set engineering standards for data pipelines

Perks/Benefits

• Flexible work from anywhere
• International collaboration
• Remote-first work environment
• Work-life balance

Skills/Tech-stack

Automation | Big Data | CI/CD | Cloud platform | Data Architecture | Data Governance | Data Pipeline Engineering | Data Quality | Data Security | Data Warehousing | Data pipeline | Database performance | Database performance tuning | ELT | ETL | GCP | Google Cloud | Google Cloud Platform | Java | Learning platforms | Machine Learning | Machine Learning Platforms | NoSQL | Performance Tuning | Pipeline engineering | Python | Relational databases | Scala | Version control