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Senior Data Engineer
1 week ago
We are an innovative investment management platform responsible for overseeing assets worth more than $2 billion. As a Senior Data Engineer, you will join our fast-growing team where you will be integral to driving our investment strategies forward by optimizing data architectures and ensuring smooth data integrations. This position provides a unique opportunity to work in a collaborative, high-tech environment and contribute to the modernization of our investment infrastructure.
Key Responsibilities:
- Take ownership of creating robust and efficient ETL workflows to streamline data ingestion and processing.
- Lead the migration and integration of legacy databases into modern data solutions (MongoDB, PostgreSQL, etc.).
- Collaborate with traders, analysts, and portfolio managers to understand data needs and optimize systems for fast, reliable analysis.
- Develop and refine automated data pipelines that power portfolio analysis, backtesting, and real-time decision-making.
- Architect data models to handle high-frequency data and enable sophisticated simulations and analytics.
- Implement tools and frameworks to ensure data integrity, accuracy, and security across all platforms.
- Continuously review and improve our data architecture to keep it agile and scalable as the business grows.
- Troubleshoot and resolve any data-related issues, ensuring smooth operations across various trading and portfolio systems.
Required Qualifications:
- 7+ years of experience in Data Engineering, with a focus on data infrastructure and systems optimization.
- Expertise in database management systems like MongoDB and PostgreSQL, with experience handling complex data queries and schema optimization.
- Proficient in Python and its data libraries, including NumPy, Pandas, and Flask.
- Deep understanding of financial data structures and the trading lifecycle.
- Experience with cloud technologies, including AWS, Google Cloud Platform, or Azure, to scale data solutions.
- Strong problem-solving skills, with a focus on performance tuning and optimizing data pipelines for large-scale systems.
- Experience in writing unit tests and maintaining a high standard of code quality in collaborative environments.
Perks & Benefits:
- Competitive compensation with yearly performance bonuses.
- Robust health insurance options, including dental and vision.
- 401k with company matching and comprehensive retirement planning.
- Flexible work schedule with remote work options available.
- Access to professional development programs, including certifications and training.
- Positive and inclusive company culture with monthly team activities and social events.