Data Operations Specialist (вакансія неактивна)

About project

Virtuace on behalf of our client — American insurance company is looking for a Data Operations Specialist to join our team.
Client is a global specialty provider of property and casualty insurance and reinsurance that has more than $110 billion USD in total assets along with $17 billion USD in net assets.

Required skills:

— Experience in working with datasets of any shape or form (timeseries, reference data, fundamental data, etc.);
— Knowledge in data related concepts (metadata, descriptive metrics, attributes, properties, etc.);
— Strong problem-solving skills;
— Experience with databases and query construction with SQL;
— Python programming skills: Pandas, Jupyter Notebooks( for the junior role);
— Ability to work in a fast-paced environment, prioritize multiple tasks and projects, and efficiently handle the demands of a trading environment.

Will be a plus:

— Familiarity with Amazon Web Services or other cloud providers (S3, Athena);
— Prior experience developing data quality control processes to detect data gaps or inaccuracies is a plus;
— Familiarity with compressed/optimized file formats for data storage such as Parquet and HDF5;

— Familiarity with a large scale data processing engine such as Presto, Spark, Dask, or similar;
— Prior experience working with R, Matlab, or Tableau.

Responsibilities:

— Operate key parts of a sophisticated market data analysis pipelines;
— Monitor and troubleshoot production jobs;
— Monitor and work through list of data-related issues raised by the system, drilling into those requiring action;
— Consult with developers to determine appropriate courses of action and make suggestions for improvements to the system;

— Help verify, clean, and ensure the data is accurate and consistent across systems used for research and analysis by the various trading teams globally;
— Work closely with traders, researchers and engineers to improve data quality and coverage
— Resolve data exceptions;
— Collect metrics and analyze datasets for completeness, validity, integrity and relevancy;
— Perform preliminary root cause analysis and make recommendations for modifications in data pipelines to increase data quality.

We offer:

— To work with a company which is financially stable and reliable, company has ambitious plans for development. Our main customers are American insurance companies, it allows us to feel safe and protected on the financial side;
— Health insurance;
— English classes (online) and speaking-club with native speakers;
— Possibility of remote work;
— Competitive salary;
— Collaborative friendly team environment.