Data Engineer
MeridianAI · Singapore
- Type: project
- Location: worldwide
- Compensation: EUR 61000–112000
- Timezone: UTC-8 to UTC+0
About the role
We are looking for an experienced professional to join our remote-first team.
Responsibilities: - Design and implement scalable solutions - Collaborate with cross-functional teams - Write clean, maintainable code - Participate in code reviews
Requirements: - 3+ years of relevant experience - Strong communication skills - Experience working remotely
What You Will Do As a Data Engineer on our global, project-based remote team, you will be instrumental in building and optimizing robust data pipelines. You will leverage your expertise in Python to develop scalable ETL processes, craft complex SQL queries to extract and transform data, and utilize Spark for large-scale data processing on AWS. Your contributions will directly support critical data-driven initiatives across the organization, ensuring data integrity and accessibility for decision-makers worldwide.
Why Join Us This is a unique opportunity to immerse yourself in exciting data engineering projects with a diverse, international team, all from the comfort of your remote workspace. We foster a collaborative environment where innovation thrives, and your contributions to our AWS-centric data infrastructure will be highly valued and visible. You'll gain invaluable experience working on cutting-edge technologies and have the chance to shape the future of our data capabilities.
Who You Are You are a proactive and detail-oriented Data Engineer who thrives in a remote, project-driven setting. You possess a deep understanding of Python scripting for data manipulation and a strong command of SQL for querying diverse datasets. Your experience with Spark for distributed computing and familiarity with AWS services equip you to tackle challenging data engineering problems with confidence and creativity.
Required skills
- Python
- SQL
- Spark
- AWS
About MeridianAI
Enterprise-grade SaaS platform for distributed teams.