Data Engineer

We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in building and maintaining data pipelines and data lakes. You will play a crucial role in transforming raw data into actionable insights, supporting our operations in the private equity and capital markets sectors. Key Responsibilities: - Design, develop, and maintain robust data pipelines to ensure seamless data flow across various systems. - Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions. - Implement ETL/ELT processes to extract, transform, and load data from multiple sources into data lakes. - Optimize data storage and retrieval processes to enhance performance and efficiency. - Monitor and troubleshoot data pipeline issues, ensuring data integrity and availability. - Stay updated with industry trends and best practices in data engineering and apply them to improve our data infrastructure. Required Skills: - Proficiency in Python and SQL for data manipulation and analysis. - Experience with data pipelines and data lakes, including design and implementation. - Familiarity with ETL/ELT processes and tools. - Knowledge of private equity and capital markets is a plus. - Strong problem-solving skills and attention to detail. - Ability to work collaboratively in a fast-paced environment. If you are passionate about data and eager to contribute to a growing organization, we encourage you to apply for this exciting opportunity.