Data Engineer

Responsibilities:

• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions
• Design data warehouse requirements based on business metrics with a proper naming convention prior to development
• Design end-to-end ETL processes based on use cases and business requirements.
• Implement complex automated workflows and routines using workflow scheduling tools.
• Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues

Requirements:

• Bachelor’s degree or higher qualifications in Informatics, Information Systems, Computer Science, or Engineering.
• Proven experience as a Data Engineer, with at least 2 years of experience in the related field.
• Experience using Python for data processing.
• Demonstrated understanding of SQL, Data Modeling, and Data Warehousing (e.g. Redshift, BigQuery, Snowflake, Azure Synapse Analytics).
• Hands-on experience implementing ETL (or ELT) and data pipeline tools.
• Experience in data processing frameworks/schedulers like Airflow.
   

Nice to have experience in any of the following:

• Experience in remote development using cloud platforms such as GCS, AWS, and Azure.
• Experience in software engineering workflows (version control using Git, CI/CD).
• Understanding of Linux and Docker is a plus.