Role: Python Engineer
Location: work from home/BANGALORE
JOB DESCRIPTION:
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.
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Education Required:
- ANY GRADUATION
- ANY STREAM
skills
Required skills/experience:
- Python and data analysis libraries (Pandas, NumPy, SciPy)
- Relational SQL database development
- Unix/Linux command-line experience
- Bachelors degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
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.
- Can work independently and in a collaborative environment.
- Can handle several projects with different priorities at the same time in a fast-paced environment.
- Excellent self-management and problem-solving skills.
- Quick learner
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