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Build a satellite constellation simulation platform using Python backend and Angular/React frontend, focusing on REST APIs, Flask, and Celery.
Build and optimize a large-scale INSAR geospatial data pipeline in Python/C, orchestrating cloud/HPC jobs and integrating science-driven quality checks.
Build and maintain scalable data pipelines and Python software to transform climate science into production-ready datasets and APIs, collaborating with climate scientists to deliver risk products.
Build and own scalable data pipelines and analytics platforms to support AI adoption and business impact, collaborating with cross-functional teams and mentoring junior engineers.
Senior Data Engineer builds scalable pipelines to process billions of market data records for trading systems using Python, SQL, Spark, and Kafka.
Principal Data Engineer builds and scales AI-native data infrastructure for LLM-powered security products, including RAG and agentic systems at Exabyte scale.
Build and maintain risk computation platforms using Java, Spring Boot, and Big Data tech to quantify and reduce exposure in capital markets.
Build and scale risk-computation platforms in Java/Spring, Kafka, and Big Data stacks to quantify and reduce TD Securities’ exposure across global markets.
Build NLP pipelines with Flair/BERT/LLMs, process large datasets in PySpark/Pandas, and deploy ML models via Flask APIs and MLflow for Citi’s fintech and AI products.
Build and optimize Python-based data processing pipelines, replacing legacy SAS workflows with pandas, NumPy, and distributed tools like Spark.
Build and optimize Python/SQL ETL pipelines for large datasets, using Pandas, PySpark, and Oracle/MariaDB to transform and load data efficiently.
Чем предстоит заниматься: ✨Внедрять ML-модели в продакшн: разрабатывать и интегрировать пайплайны для скоринга, оценки рисков и других бизнес-задач в промышленную среду. ✨Строить надёжные пайплайны обработки данных:…
Build and maintain a modern data platform for portfolio managers and quants, including ingestion, ETL, and APIs using Python, SQL, and distributed systems.
Builds and maintains quantitative models for securities data using Python, Spark, and ML; automates pipelines and delivers financial dashboards.
Lead advanced analytics projects, mentor junior engineers, and build predictive models using Python, SQL, and SPSS for UK government clients.
Senior Data Engineer builds and runs AWS-based data pipelines, mentors junior engineers, and advises clients on scalable data platforms using Python, Spark, and Airflow.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Build and scale ML infrastructure for a quantitative trading firm, designing feature stores, MLOps pipelines, and data lakes to support petabyte-scale time-series models in low-latency environments.
Build and maintain scalable data pipelines and cloud-native infrastructure to ingest and optimize multi-modal scientific datasets for ML model training in drug discovery.
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