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Builds and maintains secure, scalable data platforms and MLOps pipelines for AI/ML workflows in a global financial-services firm.
Build and maintain scalable data pipelines, AI/ML Ops workflows, and cloud-native data platforms for a global financial firm, using Python, Java, Airflow, Snowflake, and React.
Designs and builds scalable data pipelines and architectures using SQL, Python, and big data tools like Hadoop and Spark to support business analytics and insights.
Build and maintain data pipelines, ETL jobs, and reporting dashboards using Cloudera, SQL, Python, PySpark, and Tableau.
Builds and maintains scalable data pipelines, warehouses, and APIs to extract, transform, and integrate data across systems, ensuring accuracy and compliance while collaborating with cross-functional teams in an Agile environment.
We are seeking a Data Engineer to shape and scale the next generation of real-time market data capabilities for a leading global commodity trading company. In this critical role, you will design and operate…
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools like AWS and Python, while collaborating with cross-functional teams to deliver data-driven products.
Designs and maintains scalable data pipelines and architectures using SQL, Python, and big data tools to support AI-driven business solutions in Singapore.
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools (AWS, Azure, GCP) and SQL/Python to integrate and clean data for analytics.
Designs and maintains scalable data pipelines and warehouses for mission-critical systems, integrating real-time and batch data with Java, Python, Spark, and SQL.
Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard…
Designs and builds scalable data pipelines and architectures using SQL, Python, Hadoop, and Spark, while mentoring junior engineers and ensuring data governance.
Build and scale data pipelines that process billions of documents for training large language models, optimizing data quality and performance for AI research.
Powering the Future with AIDA To lead the next phase of our AI evolution, we've launched a new business unit AIDA - Artificial Intelligence & Data Analytics - a strategic engine driving our transformation…
Design and maintain scalable data architectures, ETL pipelines, and data lakes on AWS for a national library and archives system, using SQL, Python, and Airflow.
Build and maintain data pipelines for IoT and mobile products, using Python/Java/Scala and big data tools like Spark and ClickHouse to support analytics and reporting.
Build and maintain data pipelines, ETL workflows, and dashboards to support AI product analytics and evaluation using SQL, Python, and modern data warehouses.
Build and own a structured research data platform for investment teams, ingesting and parsing documents (PDF, HTML, XBRL) and deploying LLM-powered query APIs on cloud data warehouses.
Key Responsibilities Design, develop, and optimize scalable ETL/ELT pipelines to ingest, transform, and integrate data from multiple source systems. Build and maintain cloud-based data platforms, data lakes, and data…
Design and build scalable data pipelines and frameworks to ingest, process, and serve clean data for analytics and decision-making using Python, Spark, Airflow, and cloud platforms.
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