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Data Engineer 2 - TS required - Washington DC area
Entry-level (0-1 year) Data Engineer supporting ETL pipeline development, data migration, and data quality validation using SQL, Python, and cloud platforms (AWS/Azure/GCP). Requires TS clearance and is based on-site in the Washington DC area.
Data Engineer
Builds and optimizes scalable data pipelines for Moody’s risk-assessment platforms, focusing on Spark-based ETL, graph analytics, and data quality in cloud environments (AWS/Databricks).
Senior Data Engineer - India
The Senior Data Engineer will design, build, and maintain scalable ETL/ELT pipelines to support analytics and AI/ML workloads. The role focuses on creating observable, reliable data systems using modern cloud platforms and tiered data architectures.
Junior Data Engineer (Azure Databricks/Changi Business Park)
A Junior Data Engineer building Azure Databricks data pipelines, implementing Delta Lake and medallion architecture, and supporting Databricks Genie deployment for a modern data platform.
Senior Data Engineer
The Senior Data Engineer will design, deploy, and manage containerized data pipelines and lakehouse architectures. The role requires expertise in SQL, Python, Kubernetes, and orchestration tools like Apache Airflow to build robust, scalable data solutions.
Cloud Engineer
The Cloud Engineer will manage and optimize cloud-based data storage and processing solutions using AWS, Databricks, and Informatica IDMC. The role involves designing ETL/ELT pipelines and ensuring data quality and integration across various sources.
Data Engineer (Databricks), Senior Associate, Technology Consulting
Designs and implements scalable, high-performance data pipelines on Databricks/AWS for EY’s clients, bridging business needs with technical execution in consulting projects.
Cloud Consultant, Data Analytics, Google Cloud - Singapore
Cloud Consultant designs and deploys Google Cloud data analytics solutions for enterprise customers, advising on architecture and overcoming adoption blockers.
Attractive Job Opening for Automation QA Engineer in Singapore
The QA Engineer will design and execute automated tests for AI/ML-powered B2B chatbots and their underlying cloud infrastructure. The role focuses on validating system stability, data pipelines, and LLM output accuracy using Python, Playwright, and GCP-based tools.
Data Engineer
The Data Engineer will own the end-to-end design and delivery of data pipelines, models, and storage architectures. The role involves building data quality and governance capabilities while supporting AI and retrieval-based solutions using cloud-native technologies.
IT Project Manager (AI & Security Architecture)
Oversee AI-powered applications and cybersecurity architecture reviews, managing projects from design to deployment while aligning technical delivery with business goals.
Forward Deployed Engineer
A forward-deployed engineer who embeds on-site with strategic customers to implement and scale ADI's AI and edge technology, writing production Python code for data pipelines, API integrations, and MLOps workflows.
Sr AI Engineer I - Agentic AI
Build and ship production-grade agentic AI systems that automate financial workflows and power LLM features for tens of millions of customers, using Python, Go, and cloud-native stacks.
Sr AI Engineer II - Agentic AI
Build and ship production-grade agentic AI systems that automate financial workflows and power LLM features for tens of millions of customers, using Python, Go, and TypeScript on AWS/GCP.