Data Engineer (Financial Services)
Summary
Build and optimize data pipelines for financial analytics using cloud platforms, Spark, Kafka, and SQL, ensuring data quality and compliance in a trading environment.
We are seeking a Junior to Mid-level Data Engineer to enhance our data capabilities by developing innovative solutions for data management and analytics. As a forward-thinking organization, we need someone who not only possesses technical expertise but also aligns with our vision and is eager to shape our data strategy.
Key Responsibilities- Design and Development: Lead the design, development, and management of advanced data platforms, focusing on applications in the financial sector.
- Technical Excellence: Ensure the highest standards of technical excellence and reliability in data solutions.
- Data Integration: Play a crucial role in integrating financial market data to enable advanced analytics.
- Education: Bachelor's degree or higher in Computer Science or a related field, or equivalent professional experience.
- Cloud Experience: Deep understanding of public cloud environments (AWS, GCP, Azure) and their application in data engineering.
- Experience: Minimum of 4 years in data engineering, with at least 3 years focused on financial services.
- Project Leadership: Proven experience in leading data engineering projects with team management responsibilities.
- Data Pipelines: Expertise in building and optimizing data pipelines for financial data analytics.
- Technical Skills: Proficient in data pipeline tools like Apache Flink or Apache Spark, and workflow management with Airflow. Advanced skills in SQL and experience with relational and non-relational databases.
- BI Tools: Familiarity with integrating BI tools (e.g., Tableau, Mode, Looker) and using REST and streaming protocols, particularly Kafka.
- Programming: Strong skills in a JVM language (Java, Kotlin, Scala).
- Data Management: Experience managing data quality, privacy, and sovereignty in compliance with financial industry standards.
- Agile Methodologies: Solid understanding of agile methodologies, CI/CD, testing, and monitoring in a production environment.
- Personal Qualities: Self-motivated, with a keen sense of ownership and a results-driven mindset. Comfortable with complex datasets and enthusiastic about learning and growth.
- Communication Skills: Excellent communication skills and a customer-centered approach to product development.
- Prior experience in a trading environment.
- Knowledge of CQRS/Event Sourcing patterns.
- Proficiency in AWS or GCP, Cassandra, Kafka, Kubernetes, Terraform.
To learn more about this opportunity, please contact Jerry at .
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | Registration No: R1219180
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