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The Lead Data & AI Solution Engineer is responsible for architecting and delivering innovative data and AI solutions that drive business transformation and operational excellence. This role is critical in enabling…
The Great Eastern Life Assurance Company Limited is seeking a data ingestion specialist to design, develop and maintain ingestion pipelines from various sources into the data lake for analytics and AI initiatives. You…
You will be responsible for operating and evolving SP Group’s enterprise Data & AI platform to support mission-critical analytics, regulatory compliance, and AI-driven innovation. This role focuses on ensuring the…
Data Engineering, Lakehouse and AI Data Platform Engineer, Vice President, Singapore Job Description Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits…
12-month Contract with View to Convert to Permanent Major Industrial and Automation Multi-nation Firm in Singapore Employee-Centric Environment Our client is one of the world prominent multinational company in the…
A Senior Data Engineer designs and deploys data systems including data warehouses, lakes, and pipelines, performs data extraction and transformation, and builds backend APIs and databases, working in an Agile environment with various teams.
Trinity Workforce Solutions, Inc. is seeking an experienced Big Data Developer to join a Citi data engineering initiative in Singapore. You will design and implement scalable data pipelines using Hadoop, Spark,…
Senior Data Engineer to design, build, and maintain scalable data pipelines and platforms. Work with data scientists and stakeholders to develop ETL/ELT solutions, data models, and data warehouses using SQL, Python, and big data technologies like Apache Spark and Hadoop.
SP Group is seeking an experienced Data Platform Engineer to operate and evolve our enterprise Data & AI platform, supporting analytics, regulatory compliance, and AI-driven innovation. The role focuses on…
Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed…
This role oversees and manages the ingestion framework to ingest data from various data sources for data analytics and AI purposes. Detailed activities include: Analyzing the data requirements across various entities,…
Senior DevOps Engineer The Senior DevOps Engineer leads the strategic design, automation, and maintenance of robust infrastructure and deployment workflows. In this role, you will mentor a collaborative DevOps team,…
We are seeking a highly skilled Senior Java Developer with extensive experience in software development and Big Data technologies to join our dynamic team at Capgemini, Singapore. The ideal candidate will bring at…
$70 - $76 Grow your career as a Senior Backend Java Developer with an innovative global bank in Mississauga, ON. Contract role with strong possibility of extension. Will require working a hybrid schedule 3 days onsite…
Location: Montreal, QC( 3 days onsite + In-person interview mandatory) Duration: 12 months Roles and Responsibilities: Provide technical leadership and vision for software development projects, setting high standards…
Designs and maintains scalable AWS-based data pipelines and cloud architectures to transform raw data into reliable datasets for analytics and business intelligence, using AWS Glue, EMR, Redshift, and related tools.
The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration Management, CI/CD, Automation, AWS, Linux systems administration, Scripting in Bash and Programming in…
Senior Java Developer at Citi responsible for developing and maintaining Java applications, including platform support, core development, and agile SDLC tasks, using technologies like Java, REST API, messaging systems (Kafka), SQL databases, and containers (Docker/Kubernetes).
Lead a team building scalable data pipelines and AI-native infrastructure for a healthcare startup, processing 320M+ patient records to optimize care delivery and reduce costs.
Develop and maintain PySpark pipelines and data ingestion flows for a client's Data Lake using GCP and Hadoop in an Agile environment.
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