Senior Data Engineer - Diamond ID

Client is developing a system of record for the diamond supply chain. A critical part of this is the diamond matching project.

• Advanced SQL knowledge (window functions, CTEs, optimization queries).
• Advanced knowledge of Data Build Tool (dbt) or similar.
• Working knowledge of code versioning and peer code reviewing process.
• Working knowledge of deduplication and normalization strategies.
• Working knowledge of Cloud infrastructure.
• Working knowledge of Python coding principles and data libraries.
• Knowledge of ORMs such as SQLAlchemy.

Nice to have:

• Knowledge of ML tooling, such as MLFlow and Sagemaker.
• Experience with AWS.

• Building and maintaining a robust, end-to-end data and analytics platform.
• Developing and optimizing data pipelines to move data from online environments to the data warehouse and reporting layers.
• Writing high-quality, production-ready code in SQL and Python, utilizing libraries such as pandas and SQLAlchemy.
• Troubleshooting and resolving issues related to cloud data configuration, synchronization, and data latency.
• Managing and processing diverse data types, including both structured and unstructured data, such as JSONB.
• Designing, deploying, and maintaining automated business intelligence dashboards and internal monitoring tools.

• Sport subscription
• Training budget
• Private healthcare
• Flat structure
• Small teams
• International projects