Job description for Data Engineer at Celerates
We are currently looking for a Data Engineer with hands-on experience in Google Cloud Platform (GCP) to join our growing team. If you are passionate about building scalable data pipelines and working with cloud-based technologies, this opportunity is for you!
Responsibilities
1. Design, develop, and maintain scalable data pipelines and ETL processes
2. Manage and optimize data workflows using GCP services
3. Build and maintain data warehouses and data lakes
4. Collaborate with Data Analysts, Data Scientists, and Business Teams to support data needs
5. Ensure data quality, integrity, and security across systems
6. Monitor and troubleshoot data pipeline performance issues
7. Create technical documentation related to data architecture and processes
Requirements
1. 1–2 years of experience as a Data Engineer or related role
2. Hands-on experience with Google Cloud Platform (GCP)
3. Familiar with BigQuery, Cloud Storage, Dataflow, Composer, or Pub/Sub
4. Strong SQL skills and experience with relational databases
5. Experience using Python for data processing and automation
6. Understanding of ETL/ELT concepts and data warehousing
6. Familiar with version control tools such as Git
7. Good analytical thinking and problem-solving skills
8. Able to work collaboratively in a team environment
