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Description:
Design, build, and maintain scalable data pipelines to collect, process, and store data from diverse sources
Develop databases to store and organize large volumes of structured and unstructured data
Optimize and monitor database performance for efficient data retrieval and storage
Automate business processes around data and develop efficient workflows
Extract, transform, and interpret data from various sources for analytical support
Create and maintain interactive dashboards
Integrate and manage data from multiple sources ensuring consistency and quality
Implement data quality checks and validation processes for accurate and reliable data
Ensure data security measures and compliance with data governance policies
Collaborate with stakeholders to provide solutions for data issues
Participate in code reviews, enforce best practices, and recommend new tools and technologies
Document data engineering processes, data flows, and system architectures comprehensively
Act as a technical advisor, provide guidance, and mentor junior engineers
Requirements:
Bachelor’s degree in Information Technology, Computer Science, or related field (Master’s Degree is a plus)
Experience with data modeling, visualization tools, relational or NoSQL databases, and BI reporting tools
Knowledge of at least one data analysis language (Python, R, etc.)
Experience with ETL tools and cloud platforms (AWS, Azure, Google Cloud)
Ability to design and implement data models for efficient storage and analysis
Understanding of data security principles and collaborative team environment
Excellent problem-solving skills for complex data challenges
Proficiency in English
Benefits:
Remote working opportunity
Flexible working hours for work/life balance
Interdisciplinary and varied projects
Diverse and global work culture/environment
Chance to work for an environmentally conscious company