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The Lead Data Platform Engineer will lead an agile team to build and maintain data pipelines and data lakes within the Ascend Cloud Foundation platform. This role requires expertise in AWS, Apache Spark, and DevOps practices to deliver scalable data solutions.
Full-Stack Engineer building scalable Java/Spring Boot applications and data processing systems using Hadoop, automating deployments with Ansible and GitLab CI/CD while applying SRE practices in a hybrid role in Gloucester.
The Data Engineer will design and build data warehouses, ETL processes, and reporting layers while ensuring data quality. The role requires strong SQL/RDBMS skills and experience with ETL tools like Talend, Informatica, or SSIS.
The Cloud Data Platform Engineer will design, build, and optimize scalable data solutions on Microsoft Azure using services like Databricks and Azure Data Factory. The role involves automating infrastructure with IaC, managing CI/CD pipelines, and maintaining robust, fault-tolerant data architectures.
The Senior Data Engineer will design and maintain scalable data platforms and analytics solutions, focusing on security, governance, and ETL/ELT processes. The role involves working with Hadoop, Hive, and Spark on EMR while driving CI/CD practices and ensuring regulatory compliance.
The Senior Data Engineer will design and maintain scalable data platforms and BI solutions while ensuring compliance with security and regulatory standards. The role involves hands-on development with big data technologies, CI/CD pipelines, and Python/Java/Scala, alongside mentoring team members and managing operational risk.
Design and optimize large-scale data platforms and build data processing pipelines using Spark, Hadoop, and Kafka for an in-house digital technology division.
The Senior Global Data Platform Engineer will design and evolve overseas data warehouses and platforms for mobile, IoT, and app data. The role involves architecting scalable data processing systems and creating analytics applications using big data technologies like Spark, Flink, and Hadoop.
The Senior Software Engineer in Data will collaborate with international and local teams to build mission-critical data products. The role involves working with cloud data platforms, ETL pipelines, and machine learning technologies to solve complex technical challenges.
A Data Engineer who designs, builds, and maintains data pipelines and systems that power products and analytics. Works with architects, analysts, and developers to transform raw data into meaningful insights using technologies like SQL, Python, ETL tools, and big data frameworks.
PT Datacaraka Solusindo is seeking a Data Engineer to design and maintain scalable data pipelines using Apache NiFi, Kafka, and the Cloudera Hadoop ecosystem. The role involves optimizing SQL queries for big data analytics and collaborating with DevOps to deploy applications via Docker and Kubernetes.
DevOps Officer responsible for deploying hardware/software components, managing cloud and on-premise server infrastructure, monitoring performance, ensuring security, and troubleshooting production issues. Core technologies include AWS/Azure/GCP, Docker/Kubernetes, and scripting with Python/Bash/PowerShell.
This role involves building and re-architecting data pipelines and reporting tools for inbound clearing workflows using Python and SQL. The engineer will ensure data accuracy for financial operations, treasury, and trading teams while modernizing legacy systems.
Kiiro is seeking an experienced Data Engineer to build robust data foundations, pipelines, and cloud-based architectures for clients using technologies like Python, SQL, AWS, and Databricks. The role involves consulting, designing data solutions, and industrializing data science and GenAI products.
Niji is seeking a Data Engineer to develop and maintain robust data architectures and pipelines for large-scale client projects. The role involves ensuring data quality and utilizing modern Big Data and industrialization tools like Spark, Kubernetes, and Python.
Groupe Kanbios is seeking a Data Engineer to design and maintain robust data pipelines while ensuring data integrity. The role involves analyzing client needs, developing technical solutions, and optimizing architectures using technologies like Spark, Kafka, and various cloud platforms.
Niji is seeking a Data Engineer to design and maintain robust, scalable data pipelines including collection, storage, and processing. The role involves working with Big Data technologies such as Hadoop, Spark, and Hive, alongside Python, SQL, and Scala.
The DevOps Engineer will manage and automate cloud infrastructures using IaC and CI/CD pipelines while promoting DevOps culture and SRE practices. The role involves working on client projects to ensure system reliability, security, and cost optimization.
The Data Engineer designs and maintains data warehouses, data models, and ETL processes to support business intelligence initiatives. The role involves translating business requirements into technical solutions using SQL, RDBMS, and various ETL tools.
About The Team Shopee will be prioritizing applicants who have a current right to work in Singapore , and do not require Shopee sponsorship of a visa . Kindly note that you can only be considered in one recruitment…
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