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Builds real-time security data pipelines and cyber data lakes for a UAE SOC, integrating SIEM/SOAR feeds and threat intelligence to power incident response and compliance reporting.
Builds and maintains scalable Azure data pipelines, transforming raw data into actionable insights while collaborating with product teams.
Build and deploy cloud-native apps on Azure, automate CI/CD pipelines, and manage data lakes for real-time analytics and energy-trading workflows.
Build and maintain scalable data ingestion pipelines and ETL/ELT processes for a cardiac remote monitoring platform using Python, Spark, and AWS.
Build and maintain cloud-based data pipelines and warehouses to feed analytics and AI at a large cold-storage logistics company using SQL, Python, and Snowflake/Azure.
Job Description The Systems Manager, Google Cloud Platform, Enterprise Data & Analytics, leads the strategy, delivery, and operational excellence of Con Edisons enterprise data platform on Google Cloud. This role…
Lead engineer building a real-time financial data hub using Java/Spring Boot and Kafka, migrating from batch to event-driven pipelines while mentoring the team.
Build and maintain full-stack systems that ingest and clean e-commerce data (ads, screenshots, emails) using TypeScript, SQL, and AI tools to ensure accuracy and reliability for competitive-intelligence clients.
Build backend services and data pipelines for a research and trading platform using Python, while leveraging AI tools to accelerate development and maintain clean, scalable code.
Build and optimize cloud-native data pipelines on GCP to power AI, ML, and analytics products used by millions of banking customers.
Build and maintain cloud-native data pipelines on AWS, ingesting manufacturing data via Kafka and transforming it into a lakehouse for analytics and ML workloads.
Lead a team building scalable AI and data platforms for enterprise clients, designing cloud-native architectures, MLOps pipelines, and generative-AI solutions using Python, Spark, and cloud stacks like AWS/Azure.
Lead/Senior Software Engineer building and maintaining Singapore’s government-wide data infrastructure, including cloud-based pipelines, APIs, and observability systems using DevOps and distributed computing tools.
Designs and builds big-data pipelines and reports using Cloudera, PySpark, SQL, and BI tools to deliver clean, accessible datasets and dashboards.
Build and maintain AI-powered document parsing pipelines, OCR/VLM systems, and RAG knowledge bases on Azure to extract and structure data from PDFs, images, and videos for GenAI applications.
Build and maintain scalable data pipelines and backend services for wealth-management analytics using Python, Spark, SQL, and cloud platforms like Azure.
Responsibilities The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the TikTok Business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming…
Data Warehouse Engineer (Global Live) - TikTok Location: Employment Type: Regular Job Code: A88745A Share this listing: Responsibilities Design and build data transformations efficiently and reliably for different…
Lead big-data engineering projects for financial-services clients, designing Hadoop-based pipelines, cleaning messy data, and delivering actionable insights using Java/Python and ETL tools.
Designs and implements enterprise data integrations and prepares data pipelines for GenAI initiatives, ensuring reliable data flow and quality across systems.
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