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Data Engineer – Talend to Spark Migration Singapore We are looking for a Data Engineer with strong experience in Talend ETL workflows and Apache Spark to lead the migration of our data pipelines from Talend to Spark.…
Business Intelligence Engineer Location : Dublin, Hybrid working Contract Length : 6 months initially Hourly Rate : €35.00 - €37.80 (40 hours per week) About Our Client: Our client are a leading player in the retail…
Builds and maintains a scalable AI data platform using Qlik Cloud, Talend Cloud, and Databricks, integrating SAP, CRM, and other enterprise systems for predictive models and Digital Twins.
Builds and maintains Snowflake data warehouses and designs Tableau dashboards to turn raw data into business insights for clients.
Designs and implements scalable ERP data pipelines and integrations for manufacturing clients, ensuring seamless migration from legacy to modern systems while enforcing data governance and compliance.
Leads a team to enforce data governance and quality frameworks, deliver analytics and automated solutions, and partner with IT/business teams to improve data initiatives in a global wealth management firm.
Job Family : Systems Engineering (Digital) Travel Required : None Clearance Required : Ability to Obtain Public Trust The AWS Database Engineer will support application development, database engineering, data…
Hands on experience in designing and developing reports using Oracle Analytics Server (OAS) Open to considering OBIEE developers who are hands-on in data engineering space and understands the business benefits…
Full-stack Java developer building cloud solutions with Spring Boot and Angular, refactoring microservices, and deploying on AWS and Kubernetes.
Build and maintain ETL pipelines in Snowflake and Talend, design data models, and optimize analytics solutions to support data-driven decisions.
Build and maintain data pipelines, cloud-based analytics, and interactive dashboards using SQL, Python, and Tableau/Amazon QuickSight.
Build and maintain scalable data pipelines and warehouses to power analytics and insights for a telecom-focused customer lifecycle team using cloud platforms and big data tools.
Designs, builds, and maintains enterprise data pipelines, warehouses, and BI dashboards to support analytics and decision-making using Python, SQL, and cloud tools like Azure and Snowflake.
Build and maintain scalable data pipelines using Databricks, Apache Spark, Kafka, and cloud platforms, while mentoring teams and sharing best practices.
Designs and builds scalable data pipelines and warehouses using Spark, Hadoop, and SQL to enable analytics and ML for business intelligence.
Principal Engineer leading the design and implementation of HTX’s AI Data Platform, building scalable pipelines and governance to fuel AI models for Singapore’s Home Team.
Build and maintain scalable data pipelines, warehouses, and ETL/ELT workflows using Python, SQL, and cloud platforms to power analytics and AI products.
Lead a data engineering team to design and maintain scalable ETL/ELT pipelines, data warehouses, and lakes for a top Indonesian bank, ensuring reliability and governance.
Build and maintain ETL pipelines, optimize databases, and design data warehouses to support BI and analytics for a retail company.
Leads DevOps engineering for AWS cloud infrastructure, managing Red Hat OpenShift clusters, CI/CD pipelines (GitLab Runners), and observability/security tools to support government/public sector clients' mission-critical operations and digital transformation.
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