As a Data Engineer at Alber Blanc Capital, you will be responsible for working with orchestrators and databases together with our Machine Learning team.Strong Python, deep understanding of libraries and data formats would be the best fit for this position.
Responsibilities
Design, build, and maintain scalable data pipelines to work with large datasets
Own data quality end-to-end
Develop and optimize data storage and retrieval layers across data lakes
Implement robust ETL/ELT workflows, orchestration, and CI/CD for data jobs
Partner closely with different teams to define data requirements, improve data usability, and reduce time-to-insight
Continuously evaluate and adopt modern data tools and architectures
Requirements
STEM degree from one of top-tier universities OR proven track of success as Data Analyst/Researcher/Data Scientist
Advanced understanding of probability, statistics, math and algorithms
Strong analytical skills for working with large datasets
Confident, hands-on level of Python and common libraries (pandas, polars, etc)
Nice to have
Personal achievements such as ICPC, IMC, IOI, codeforces red+, Kaggle, etc.
Experience with distributed computing frameworks (e.g., Ray, etc)
What we offer
Result-oriented bonuses along with extraordinary salary
Transparent processes and lack of red-tape
Competitive environment with an opportunity to make decisions and change the company
One of the best level of expertise on the market
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