Head of Data Engineering

Tasks

• Automate data pipeline operations
• Build scalable data platforms
• Collaborate with stakeholders to translate requirements into technical solutions
• Define data architecture
• Design secure high performance data pipelines
• Develop ETL/ELT workflows
• Ensure data reliability security governance performance
• Implement CI/CD practices for data workflows
• Improve data quality and accessibility
• Lead and mentor data engineering teams
• Select and adopt cloud platforms and data engineering tools
• Set engineering standards for data pipelines

Perks/Benefits

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

Skills/Tech-stack

Big Data | CI/CD | Cloud infrastructure | Cloud platform | Data Architecture | Data Governance | Data Warehousing | Data pipeline | Data pipeline automation | Database security | ELT | ETL | Google Cloud | Google Cloud Platform | Java | Machine Learning | NoSQL | Operational excellence | Pipeline Automation | Python | Relational databases | Scala | Version control