Teza Technologies
Data Engineer, Financial Reference Data
Hybrid
Full Time
#Engineering
#Python
#SQL
#ETL
#APIs
#Data
#AWS
#Hadoop
#Spark
#Java
Teza Technologies is looking for a Data Engineer, Financial Reference Data
Teza Technologies is looking for a Data Engineer to join our core services technology team. Data drives systematic trading and is critical to all aspects of the firm's business.
This is a hands-on position on a small team of data engineers with significant growth potential, as this team will grow rapidly over the next couple of years. The firm is looking for outstanding technical skills, strong attention to detail, and experience architecting and building data platforms.
Location
Yerevan, AM (Hybrid mode with 3 days in-office requirement)
Key Responsibilities
- Timely onboarding of structured and alternative data vendors
- Communicate with quantitative researchers and other end-users to understand their requirements and potential future requests
- Investigate vendor data thoroughly to become a subject matter expert on its characteristics and irregularities
- Design and implement efficient reusable ETL processing components using cutting edge technologies, and write robust tests for on-going quality control
- Build flexible APIs in iterations with end-users to ensure their needs are met
- Enhance existing data infrastructure and services
- Optimize data IO and load balancing for grid computation
- Automate data storage management
Basic Requirements
- Bachelor’s degree in Computer Science, Data Science or related field
- At least a year experience in designing, optimizing and deploying ETL/ELT and analytics pipelines
- Strong programming skills - Python
- Proficiency with SQL
- Detail oriented approach
Nice To Have Requirements
- Experience supporting Financial Products/Reference Data
- Programming skills - Java
- Experience with AWS, Hadoop, Spark
What You’ll Get
- Working with world-class Quantitative Traders to bring strategies to market
- Opportunity to work with the best and the brightest in the industry
- To offer and implement the best practices and have major impact
- Challenging tasks to help you grow professionally
- Open door culture
What Makes You a Match
- You are experienced data practitioner
- You confidently communicate technical ideas
- Difficult problems make you excited
- You are not afraid of the unknown and love to learn
- You have A LOT of passion and drive
Benefits
-
Health insurance
-
Flexible sick time policy
-
Office lunches
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