Data Engineer - FIC Technology at MILLENNIUM CAPITAL MANAGEMENT SINGAPORE PTE LTD

Miami, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Dec, 25

Salary

250000.0

Posted On

20 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipeline Architecture, Python, SQL, Data Analysis, Unix/Linux, REST APIs, Data Cleansing, Data Normalization, Communication Skills, Critical Thinking, Self-management, Problem-solving, AWS, RDBMS, Identity Management, Apache Kafka, Snowflake

Industry

Investment Management

Description

Data Engineer - FIC Technology The Fixed Income & Commodities Data team is looking for a Data Engineer that will work on the acquisition, accessibility, normalizing, and cataloging of large sets of data. Responsibilities: Create and maintain optimal data pipeline architecture Extraction, transformation, and loading of data from a wide variety of data sources using Python and SQL Providing users access to datasets using REST and Python APIs Categorizing, cataloging, cleansing and normalizing of datasets Communicating with business users and technology stakeholders. Required skills/experience: Bachelor’s degree in Computer Science or a related field 5+ years of professional experience with python data engineering Python and data analysis libraries (Pandas, NumPy, SciPy) Relational SQL database development Unix/Linux command-line experience Desirable skills/experience: Object-oriented languages: Java, C++, etc. AWS cloud services: EC2, RDS, Athena, Lambda, etc. RDBMS: SQL Server and PostgreSQL Identity and Access Management: Kerberos, OAuth 2.0, LDAP Other: Apache HTTP Server, Kafka, Snowflake Broad understanding of fixed income, derivatives, futures, FX, or other financial-services instruments Other Qualifications: Excellent listening, and communication (both oral and written) skills. Self-starter and critical thinker, takes ownership of own projects and makes improvement suggestions for the entire infrastructure. Proactive, assertive and attentive to details working independently and in a collaborative environment. Ability to handle several projects with different priorities at the same time in a fast-paced environment. Excellent self-management and problem-solving skills and a quick learner The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

Responsibilities

The Data Engineer will create and maintain optimal data pipeline architecture and work on the extraction, transformation, and loading of data from various sources. They will also provide users access to datasets and communicate with business users and technology stakeholders.