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Build and maintain financial data pipelines and run quantitative analyses to support investment strategies using Python and SQL.
Designs and maintains scalable data pipelines and ETL processes to collect, process, and store logistics data for analytics and reporting.
Build and optimize cloud-based data pipelines using Microsoft Fabric, Spark, and PySpark to transform raw data into analytics-ready datasets for reporting and BI.
Designs, builds, and deploys AI/ML models and data pipelines to boost workforce productivity using Python and cloud tools.
Build and maintain cloud-based data pipelines for batch and streaming analytics, using Python, SQL, Kafka, Airflow, and GCP/AWS services to power business insights and ML at a fast-growing Q-commerce platform.
Design and maintain scalable data pipelines for AI and analytics in a fintech firm, collaborating with data scientists to support financial infrastructure.
Designs and implements micro-frontend architectures and complex data pipelines using React, JavaScript, and cloud technologies.
Designs and maintains scalable data pipelines and cloud-native platforms to ensure reliable, high-quality data for analytics, BI, and AI use cases using SQL, Python, and Azure.
Build and maintain Python-based data pipelines in Prefect to ingest API and telemetry data into PostgreSQL, automate reporting, and improve the energy-infrastructure data platform.
Builds and maintains data pipelines and APIs for an energy-focused data platform using Python and SQL.
Build and maintain data pipelines and production-grade code for a liquidity model at a sovereign wealth fund, integrating financial data systems.
Designs and maintains data pipelines and systems to feed actuarial models with clean, structured data and supports reporting via dashboards.
Builds and maintains centralized data lakes and streaming pipelines using GCP, leveraging PySpark for ETL and data validation to ensure quality and drive insights for a UAE-based tech super app.
Build and maintain a GCP-based data lake and Spark pipelines to process ride-hailing, delivery, and financial data for a super-app serving 45+ cities across Africa and Europe.
Builds and maintains data pipelines for LLM-powered financial applications using SQL, Python, Airflow, and cloud tools.
Design and optimize large-scale PySpark data pipelines for banking applications, ensuring high-quality financial data solutions.
Design and deploy AI/ML pipelines and GenAI apps to personalize trading experiences, predict customer churn, and automate marketing workflows using Python, SQL, and AWS SageMaker.
Builds and maintains big data pipelines using Cloudera CDP, Spark, Hive, and Hadoop to support analytics and production systems.
Design and build scalable data pipelines and cloud-native platforms using Python, SQL, Azure Synapse, and Microsoft Fabric for enterprise clients.
Design and maintain scalable data pipelines and infrastructure to support AI, ML, and analytics initiatives for a global fintech trading platform.
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