Data Engineer (Junior/Middle) $$ Offline

We operate an integrated sushi-restaurant business and require a Data Engineer to design and implement a centralised, well-governed data warehouse; develop and automate data pipelines that support critical reporting, including multi-platform customer-order analytics, marketing performance metrics, executive dashboards, and other business-essential analyses and collaborate on internal machine-learning projects by providing reliable, production-ready data assets.

Our requirements:

1. Professional experience (1–3 years) in data engineering, with demonstrable ownership of end-to-end ETL/ELT pipelines in production.
2. Strong SQL and Python proficiency, including performance tuning, modular code design, and automated testing of data transformations.
3. Hands-on expertise with modern data-stack components (e.g., Airflow, dbt, Spark, or comparable orchestration and processing frameworks).
4. Cloud-native skills on AWS or Azure, covering at least two services from Glue, Athena, Lambda, Databricks, Data Factory, or Snowflake, plus cost- and performance-optimization best practices.
5. Solid understanding of dimensional modelling, data-quality governance, and documentation standards, ensuring reliable, audited data assets for analytics and machine-learning use cases.

Your responsibilities:

• Designing, developing, and maintaining scalable data pipelines and ETL.
• Optimizing data processing workflows for performance, reliability, and cost-efficiency.
• Ensuring compliance with data quality standards and implementing governance best practices.
• Driving and supporting the migration of on-premise data products to warehouse.