Onyx Capital Group
Onyx Capital Group is a leading provider of financial services specifically focused on the oil derivatives market. They offer a comprehensive suite of solutions including brokerage, liquidity provision, and access to proprietary data through their Flux Terminal. Their mission is to democratize market access for traders of all levels, providing expert analysis, training, and tools to effectively manage oil price risks and navigate the complexities of the global oil market.
Oil derivatives • Refined products derivatives • Proprietary trading • Market-making
Data Engineer
February 25
Onyx Capital Group
Onyx Capital Group is a leading provider of financial services specifically focused on the oil derivatives market. They offer a comprehensive suite of solutions including brokerage, liquidity provision, and access to proprietary data through their Flux Terminal. Their mission is to democratize market access for traders of all levels, providing expert analysis, training, and tools to effectively manage oil price risks and navigate the complexities of the global oil market.
Oil derivatives • Refined products derivatives • Proprietary trading • Market-making
📋 Description
• Design, develop, and implement comprehensive data pipelines using ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks to meet mission objectives. • Collaborate with cross-functional teams to understand data requirements and design optimal data models and architectures. • Optimize data pipelines for scalability, reliability, and high-performance processing, and provide innovative solutions to complex data-related challenges involving large datasets. • Ensure data quality through validation processes and governance frameworks. • Collaborate with data scientists to enable machine learning workflows.
🎯 Requirements
• 5-8 Years of Industry Experience • Proficiency in ETL tools (e.g., Apache Airflow) and big data technologies (e.g., Spark). • Familiarity with data engineering tools from major cloud platforms such as AWS Glue, AWS Redshift, Azure Data Factory, Azure Synapse Analytics, Google Cloud Dataflow, and Google BigQuery. • Experience with cloud-native analytics platforms like Azure Fabric, Azure Synapse Analytics or Google BigQuery. • Strong programming skills in Python or Scala for data processing tasks. • Excellent problem-solving skills and the ability to troubleshoot complex technical issues. • Effective communication skills, written and oral • Certifications: Google Professional Data Engineer or AWS Certified Data Analytics.
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