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Designs and maintains scalable data pipelines and cloud-based data platforms using AWS, Microsoft Fabric, and Databricks to support analytics and machine learning for a financial-services company.
Build and optimize enterprise-scale data pipelines and BI solutions using SQL, ETL, and Power BI for a leading Hong Kong telecom.
Build, optimize, and deploy large language and multimodal models for industrial use, focusing on training, compression, RAG, and agent workflows.
Senior Data Analytics Engineer builds and optimizes enterprise data pipelines and warehouses for a large tech/telecom firm, focusing on financial and insurance transformation using SQL, Power BI, and ETL tools.
Designs and builds scalable BI/ETL pipelines and data models for financial clients, translating business needs into robust analytics solutions using Oracle/SQL Server and Power BI.
Build and maintain scalable data pipelines and architectures to support AI/ML model training and inference, using Python, Spark, Kafka, and cloud platforms.
Build and maintain cloud data pipelines on AWS, Azure, or GCP to ingest and process data for clients, enabling analytics and decision-making.
The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration Management, CI/CD, Automation, AWS, Linux systems administration, Scripting in Bash and Programming in…
Build and refine AI-powered fraud detection models for a financial-sector client, analyzing transactional data to uncover emerging threats and reduce financial crime.
Senior AQA engineer builds and maintains automated tests in Java or Python for distributed, high-load systems, covering APIs, databases, and CI/CD pipelines.
DevSecOps engineer builds and secures AWS-based data platforms, automating pipelines and enforcing security best practices for analytics workloads.
Business analyst in a retail bank builds data models in SQL/Python (Hadoop, PySpark) to prototype reports and requirements for developers, then validates the delivered data marts.
Builds and trains ML models to predict customer behavior, analyzes data for patterns, and helps deploy models into production pipelines for Sberbank’s products.
Build and maintain a data-flow mapping tool to assess data-exchange maturity and residual risks in a large bank’s infrastructure using Python, Spark, SQL, and BI dashboards.
Builds ETL pipelines for data governance services using Python, PySpark, Hadoop, and Airflow.
Senior Data Scientist builds ML models and data pipelines using Python/R/SQL to solve business problems and prototype solutions for clients.
Стажировка в команде Сбербанка, разрабатывающей ML-модели для прогноза оттока клиентов и анализа их поведения с использованием Python, SQL и классических алгоритмов.
Builds and maintains a high-performance data processing pipeline for massive datasets, combining data engineering with backend development to handle heavy loads, APIs, and integrations with external data sources.
Builds and maintains BigData ETL/ELT pipelines in Python/Java, moving data from APIs, logs and databases into DWH and Data Lake using Spark, Airflow and Hadoop tooling.
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