Key Responsibilities
● Lead the design, development, and management of our advanced data platforms, with a specific focus on applications in the hedge fund sector.
● Ensure the highest standards of technical excellence and reliability in our data solutions.
● Play a crucial role in integrating financial market data, enabling advanced analytics in the hedge fund domain.
Requirements & Qualifications
● Bachelor's degree or higher in Computer Science or a related field, or equivalent professional experience.
● Minimum of 8 years’ experience in data engineering, with at least 3 years focused on financial services, preferably in the hedge fund industry.
● Proven experience in leading data engineering projects, with direct or indirect team management responsibilities.
● Expertise in building and optimizing data pipelines, particularly for financial data analytics.
● Proficient in data pipeline tools like Apache Flink or Apache Spark, and workflow management with Airflow.
● Deep understanding of public cloud environments (AWS, GCP, Azure) and their application in data engineering.
● Advanced skills in SQL and experience with both relational and non-relational databases.
● Familiarity with integrating BI tools (e.g., Tableau, Mode, Looker) and using REST and streaming protocols, particularly Kafka.
● Strong skills in a JVM language (Java, Scala) are essential.
● Experience managing data quality, privacy, and sovereignty in compliance with financial industry standards.
● Solid understanding of agile methodologies, CI/CD, testing, and monitoring in a production environment.
● Self-motivated, with a keen sense of ownership and a results-driven mindset.
● Comfortable with complex datasets and enthusiastic about learning and growth in the financial domain.
● Excellent communication skills and a customer-centric approach to product development.
