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Build and maintain scalable data pipelines in Python and AWS to feed AI platforms and BI tools, ensuring high-quality data for analytics and decision-making.
Build and maintain scalable AWS data pipelines using PySpark, Glue, Step Functions, and Lambda for a fintech client, while automating infra with Terraform and CI/CD.
Build and maintain scalable data systems, design ETL/ELT pipelines, and optimize data quality using AWS, Python, SQL, and Spark for analytics and ML workloads.
Designs and maintains scalable data pipelines and cloud-based data warehouses to feed analytics and AI models, using Python, Spark, Kafka, and cloud platforms like AWS/Azure/GCP.
Designs and maintains scalable data pipelines for clinical and sensor data, integrating ML/NLP/LLM workflows with Spark, Beam, and Airflow on AWS to support healthcare analytics.
Build and maintain AI-powered data pipelines for clinical and sensor data, integrating with cloud platforms and AI algorithms to support healthcare analytics.
Builds and maintains global equity data pipelines for a quant fund, cleaning and aligning market data from vendors like Bloomberg and Refinitiv to power AI-driven trading strategies.
Build and maintain global equity datasets for a private fund, ingesting vendor data and mapping tickers across exchanges and systems to support quant research and trading.
Build and maintain data pipelines and infrastructure for a fast-growing multi-currency fintech wallet, enabling analytics, AI agents, and customer-facing features across APAC markets.
Builds and maintains Java batch and UI apps with Spring/Hibernate, creates ETL modules and REST APIs for risk/finance systems, and automates workflows with CI/CD, Control-M, and Kubernetes.
Build and maintain Java-based banking risk applications using Spring, Hibernate, and React; automate ETL and CI/CD pipelines; troubleshoot production issues in a global banking IT team.
Build and maintain scalable full-stack applications using TypeScript, Python, React, and cloud services like AWS, while designing secure APIs and databases.
Senior ML Engineer builds and deploys geospatial AI models on Ray Serve and AWS, turning large datasets into real-time risk-scoring services for insurance clients.
Build and maintain secure banking platforms using Python (FastAPI/Flask/Django), React, and microservices, while collaborating with cybersecurity and DevOps teams.
Build and maintain scalable data pipelines on GCP using Python, Airflow, Spark, and BigQuery to power analytics and decision-making.
Senior AI Data Engineer builds and maintains scalable ELT pipelines and dbt models for Zendesk’s analytics platform, integrating AI tools to enhance data delivery and team productivity.
Build and maintain cloud-based data pipelines and transformations using GCP, Python, and SQL to turn raw data into business insights for enterprise clients.
Build and optimize scalable ETL pipelines, real-time data ingestion, and multi-tenant analytical databases to power sub-second BI dashboards and embedded analytics for a media-focused SaaS platform.
Builds and maintains Python-based REST APIs, data pipelines, and CI/CD workflows for a cybersecurity team that automates vulnerability detection and integrates third-party security tools.
Build and maintain distributed data pipelines and processing systems for a Vulnerability & Exposure Management Platform, handling millions of daily events with Python, PySpark, and cloud tools.
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