Job Title: Senior Data Engineer Experience: 10+ years Key Responsibilities: • Design, develop, and maintain scalable data pipelines and ETRM systems. • Implement real-time data replication from various source systems to Snowflake using Fivetran. • Work on data integration projects within the Energy Trading and Risk Management (ETRM) domain. • Collaborate with cross-functional teams to integrate data from ETRM trading systems like Allegro, RightAngle, and Endur. • Optimize and manage data storage solutions in Data Lake and Snowflake. • Develop and maintain ETL processes using Azure Data Factory and Databricks. • Write efficient and maintainable code in Python for data processing and analysis. • Ensure data quality and integrity across various data sources and platforms. • Develop and maintain data pipelines using FiveTran, Snowflake, and Azure Data Factory (ADF). • Ensure data accuracy, integrity, and availability across various trading systems. • Collaborate with traders, analysts, and IT teams to understand data requirements and deliver robust solutions. • Optimize and enhance data architecture for performance and scalability Mandatory Skills: • Azure Data Factory (ADF) • Data Lake • Snowflake • Python • Databricks • Fivetran • Experience in ETRM domain • Integration with trading systems like Allegro, RightAngle, Endur Preferred Qualifications: • Strong problem-solving skills and attention to detail. • Excellent communication and collaboration skills. • Ability to work in a fast-paced and dynamic environment. • Experience with other data integration tools and technologies is a plus. Education: • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. • Certification in relevant technologies is a plus.