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The Data Analytics Platform Architect will design and implement a secure, scalable cloud data platform on AWS using tools like Talend, Denodo, and Keycloak. The role involves leading the end-to-end setup of infrastructure to support enterprise analytics and AI initiatives for public sector clients.
System integration developer at a café chain, designing data flows between POS, CRM, ERP, and apps; building internal web/mobile software and ETL pipelines using JavaScript (React/Vue), Python, or .NET with SQL databases and RESTful APIs.
Designs and builds Python-based data pipelines and APIs to process manufacturing data (ERP, MES, etc.) for analytics and BI reporting in a semiconductor facility.
The Data Engineer will design and maintain data-driven solutions for Sportsbet Australia, focusing on building high-quality code, optimizing cloud-based data platforms, and automating operational processes. The role requires strong Python skills and experience with AWS and data streaming architectures.
The Senior Software Engineer designs and maintains scalable data integration solutions using Talend, SQL, Kafka, and Java. The role involves translating business requirements into technical designs, ensuring system stability through Level 3 support, and implementing CI/CD automation within an Agile environment.
Senior Data Engineer designing, developing, and maintaining ETL pipelines, data warehouses, and big data processing systems using SQL, Python, Spark, and Hadoop.
The Business Analyst acts as a bridge between business, product, and engineering teams to define and deliver requirements for the Charles River Investment Management System. The role involves analyzing complex investment workflows, managing the software development lifecycle, and ensuring high-quality functional specifications for financial technology solutions.
Who We Are Charles River Development (CRD) is the FinTech division of State Street. Together with State Street’s Middle and Back-office services, Charles River’s cloud-based Front Office technology forms the foundation…
Key Responsibilities • Design and develop subject-specific data marts based on business requirements • Build and optimize ETL/ELT pipelines for data extraction, transformation, and loading • Develop dimensional models…
Build and maintain data pipelines, ETL/ELT processes, and Redshift models to transform raw data into business insights using AWS, Python, and Spark.
AWS Data Engineer building and maintaining ETL/ELT data pipelines, datamarts in Amazon Redshift, and SQL transformations using Python, PySpark, and various BI tools.
¡Atención, amante de la tecnología! Si eres una persona curiosa, creativa y con pasión por la innovación, ¡esta oportunidad es para ti! Envíe su solicitud a continuación después de leer todos los detalles y la…
Senior Data Architect leading end-to-end big data platform design and implementation on AWS, including data pipelines, data lakes, and analytics/AI enablement for enterprise clients, with up to 50% travel across Canada.
This Data Engineer role focuses on designing and maintaining ETL/ELT pipelines using Snowflake to integrate and automate data processes. The position is a 6-month remote contract requiring expertise in SQL, data quality validation, and reporting tools.
Job Description: DevOps (ShipHats) Engineer, Senior Associate, AI Data, Technology Consulting At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible…
Designs and implements large-scale data architectures for healthcare, focusing on scalable data warehouses, data lakes, and ETL/ELT pipelines using Talend, AWS, and distributed systems.
A Senior Data Analyst bridges business needs and technical data solutions by gathering requirements, creating source-to-target mappings, and supporting data warehouse initiatives. Core work involves SQL, Snowflake, and data modeling to ensure accurate, high-quality data transformations and alignment with engineering processes.
Leads AI data engineering and solutioning for Singapore’s Home Team, designing scalable data pipelines, ensuring governance, and optimizing AI model inputs while driving innovation in cloud/data technologies.
The Data Engineer will design and maintain scalable, secure data pipelines and analytical solutions using AWS and big data technologies. The role involves integrating diverse data sources, performing ETL, and collaborating with agile teams to deliver high-performing data infrastructure.
Data Engineer in Nantes designing and feeding datamarts via ELT tools (e.g., Semarchy Xdi) and SQL for a major banking group's decisional information system, with a strong functional-analysis dimension.
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