Arrowpoint | Data Engineer
3 weeks ago
We are on the lookout for a Junior to Mid-level Data Engineer who will play a key role in enhancing our data capabilities, focusing on innovative solutions for data management and analytics. As a burgeoning hedge fund startup with a clear vision and commitment to the Asian market, we are seeking a Data Engineer. This role is not just about technical expertise but also about aligning with our forward-thinking vision and being at the forefront of shaping our data strategy.
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.
Deep understanding of public cloud environments (AWS, GCP, Azure) and their application in data engineering.
Minimum of 4 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.
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, Kotlin, 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.
Nice-to-Haves
Prior experience in hedge fund and trading environment.
Knowledge of CQRS/Event Sourcing patterns.
Proficiency in AWS or GCP, Cassandra, Kafka, Kubernetes, Terraform.
To apply, email CV to
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