Commodities Core Data Engineer

4 tygodni temu

Warsaw, Polska NTIATIVE sp. z o.o. Pełny etat

technologies-expected :
Python
AWS
SQL
PostgreSQL
Microsoft SQL Server

technologies-optional :
Apache Spark
Hadoop
Hive

about-project :
We are seeking a Commodities Core Data Engineer for Balyasny Asset Management (B.A.M.) who is a global institutional investment firm that is opening its first office in Poland, precisely in Warsaw.
Operating at the intersection of finance and technology, they combine deep industry knowledge with software engineering and quantitative research to seek out new investment opportunities, analyze market conditions, minimize risk and provide superior service to investment partners.

responsibilities :
Developing and architecting next generation cloud native data platforms, pipelines and APIs within the Commodities space using the AWS suite of technologies capable of delivering large volumes of data in a performant manner
Working with a variety of vendors in the Commodities space, including but not limited to Morningstar, Bloomberg, Refnitiv, and delivering data across the full landscape of market data; from streaming real-time data to static, reference and historical data.
Develop a keen understanding of the data and how it is being utilized in our systems and investment processes
Partner with our business users to understand their requirements and interactions with the data platform to ensure quality product delivery and smooth day-to-day operation
Work as a key part of a highly-collaborative, tight-knit team of talented market data developers
Own the full scope of the assigned projects, including liaising with the business to gather requirements, designing the solution, and building and delivering completed functionality to production
Produce comprehensive written documentation
Be a self-starter and perform with minimum supervision, exercising sound judgment

requirements-expected :
Degree in Computer Science or STEM related subject
5+ years development background
Expert knowledge of Python, with deep experience building complex, scalable systems in Python
Strong technical knowledge of systems supporting large, complex data sets in a performant, scalable manner
Experience with AWS technologies e.g. Redshift, SNS/SQS, S3, Lambdas, Glue and ECS
Experience with data management principles and designing and developing data APIs, web services, ETL pipelines
Experience working with climatology data a plus
Experience using big data technologies including Apache Spark, Hadoop, Hive a plus
Unix (Linux) and database experience (SQL, PostgreSQL, SQL Server)
Familiarity with Bloomberg and/or Reuters/Refinitiv or Morningstar products a plus
Analytical skills – Ability to troubleshoot and logically assess problems and determine solutions
Documentation skills – ability to represent ideas, requirements, and problems in clear and concise documents.
Experience working in front-office within the Commodities, Fixed Income or FX space a bonus

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