Are you a skilled Data Engineer with experience in building and optimizing data platforms? Join a leading firm in the commodity trading sector, where you'll play a key role in developing scalable, high-performance data solutions.
The Role:
As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining robust data platforms. You’ll work with modern technologies such as Snowflake, Databricks, Synapse/Fabric, and PySpark, ensuring seamless data integration and accessibility for business and regulatory needs.
Key Responsibilities:
- Build and optimize data platforms for scalability, security, and performance. Develop and maintain data pipelines and models, integrating tools like Power BI and Tableau.
- Implement best practices for data engineering and DevOps. Support business users in deploying and maintaining data solutions.
- Ensure compliance with regulatory data requirements.
- Collaborate with engineers and stakeholders to drive data innovation.
Requirements:
- Proven experience in data engineering, ideally within trading or financial services.
- Strong knowledge of Snowflake, Databricks, Synapse/Fabric, PySpark, and Azure.
- Expertise in data modeling, pipelines, and orchestration.
- Proficiency in Python and SQL (MS SQL Server, Oracle).
- Experience with DevOps, performance optimization, and data governance.
- Excellent problem-solving and communication skills.
This is an opportunity to work in a dynamic, fast-paced environment where data plays a crucial role in decision-making. If you’re passionate about data engineering and ready to take on a new challenge, apply now!