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Core is a high-growth Microsoft Managed Services Provider (MSP) delivering modern technology solutions across Azure, Microsoft 365, Security, and Modern Workplace. We specialise in providing a wide range of services,…
Sii Polska is seeking an experienced Big Data Developer to join a team focused on creating and maintaining modern analytical solutions. You will be responsible for building and optimizing data pipelines and lakehouse…
At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific…
Overview of the role: A highly skilled and motivated IT Analytics Architect to join our Data Engineering & Analytics team. Reporting to the Senior Director of Data Engineering & Analytics , this role will play…
MS fabric Data Engineer Role Overview of The Role The Data Engineer is responsible for designing, building, and supporting scalable, secure, and high‑performance analytics solutions on the Microsoft Fabric platform.…
Vi manages a petabyte scale data lakehouse that drives data and ML pipelines across all our products. Vi is looking for an engineer with deep expertise building and scaling big-data and ML pipelines. The role will be a…
Key Responsibilities Design, build, and maintain scalable, reliable data pipelines (batch and streaming). Develop and optimise data models, warehouses, and lakehouse architectures. Build and automate CI/CD pipelines…
SOBRE A GETNET A Getnet é a fintech líder em soluções de pagamento na América Latina e na Península Ibérica. A empresa oferece soluções multicanais robustas e flexíveis que se adaptam às necessidades dos clientes,…
Om företaget Hos Avaron får du tryggheten i en fast anställning kombinerat med variationen av att arbeta ute hos olika kunder. Vi tillsätter specialister inom allt från teknik, IT och industri till projektledning och…
P-1701 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems: from making the next mode of transportation a reality to accelerating the development of medical…
Senior Data Engineer (Databricks) - London (Hybrid) - Up to £90,000 We're working with an innovative, data-driven organisation that is investing heavily in its Databricks platform and looking to add a Senior Data…
Designs, optimizes, and maintains large-scale data infrastructure and pipelines on GCP/BigQuery, bridging model development and production while automating CI/CD workflows.
Um dos maiores grupos de beleza do mundo, o Grupo Boticário é uma empresa brasileira presente em mais de 40 países. É dono das marcas O Boticário, Eudora, Quem Disse, Berenice?, Vult, O.U.i, Dr. JONES, Tô.que.tô,…
Gini Talent is seeking an experienced Data Engineer for a fully remote, 6-month contract focused on Azure Data Services and Microsoft Fabric. You will design, develop, and optimize data platforms and analytics…
Основные задачи: Разрабатывать автоматизированные проверки качества данных (SQL, PySpark, SparkSQL) Проектировать и поддерживать правила Data Quality для новых источников данных Разрабатывать и сопровождать Data…
Microsoft Fabric Solution Architect – Azure / SQL Location: Northville, MI Work Arrangement: Hybrid / Onsite Employment Type: Fulltime Job Summary We are seeking an experienced Microsoft Fabric Solution Architect to…
Job description: Roles & Responsibilities and Skillset: Snowflake Architect: Responsible for designing the overall Snowflake platform strategy, architecture, standards, governance, and future roadmap. 1. Platform…
Data Engineer designing and maintaining scalable, low-latency data pipelines and infrastructure for real-time threat detection and risk scoring, using Python, SQL/NoSQL, Spark, and Kafka.
Develop scalable ETL/ELT pipelines, Lakehouse models, and Data Warehouse solutions using Python, Azure, and Fabric, while creating interactive Power BI dashboards to drive business improvements.
Administer and support Cloudera, Hadoop, and Spark environments across hybrid AWS and on-prem infrastructure. Manage platform upgrades, security patching, and containerized platforms like Kubernetes/OpenShift while optimizing AI/ML services.
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