Head of Data Engineering

Tasks

• Build and mentor data engineering teams
• Define data engineering strategy
• Design data workflows for analytics and machine learning
• Design scalable data architecture
• Develop ETL and ELT workflows
• Ensure Data reliability
• Ensure data governance
• Ensure data security
• Implement CI/CD for data pipelines
• Improve data pipeline performance
• Improve data quality and accessibility
• Lead data engineering teams
• Select and adopt cloud data tools
• Set data pipeline engineering standards
• Translate business requirements into technical solutions

Perks/Benefits

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

Skills/Tech-stack

Automation | Big Data | CI/CD | Cloud infrastructure | Cloud platform | Data Architecture | Data Governance | Data Pipelines | Data Quality | Data Warehousing | ELT | ETL | Google Cloud | Google Cloud Platform | Java | Machine Learning | NoSQL Databases | Performance Tuning | Python | Relational databases | Scala | Security | Version control