Data Engineer - FIC Technology

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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.

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.

• 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.

• 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, Num Py, Sci Py)
• Relational SQL database development
• Unix/Linux command-line 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

• 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.

• Mid-Senior level

• Full-time

• Information Technology

• Investment Management

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