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Top Data Engineer Jobs in Bucharest
The Principal Data Engineer will build data foundations for an AI-powered architecture design product, creating optimized data systems and robust data pipelines that support rapid experimentation and decision-making processes, and collaborating with cross-functional teams to meet data needs.
As a Research Engineer at Autodesk, you will build ML-powered product features and unify disparate data sources (text, images, 3D models). Your role involves developing scalable systems for data processing, conducting experiments, producing visualizations, and ensuring compliant data use while collaborating with AI researchers.
The Senior Data Support Engineer role involves developing data engineering solutions, including data manipulation, modeling, and transformation using various tools and technologies. Responsibilities include supporting QA processes and user acceptance testing, as well as collaborating with teams to deliver complex data projects.
As a Big Data Engineer, you will develop and maintain data pipelines and the data ecosystem, ensuring fault tolerance and reliable reporting. You'll collaborate with your team to write high-quality code and implement best practices, while focusing on the needs of customers and promoting agility.
Develop and implement machine learning models, conduct data analysis projects to derive insights, and collaborate with engineers to ensure data quality. Present findings using visualization tools and stay current with AI/ML advancements.
As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.
The Senior ETL Engineer will develop ETL flows in IBM Infosphere Datastage, design and build physical data models, manage data using Oracle Exadata, deploy packages using GIT and Azure Devops, perform quality tests, maintain Data Lake applications, and collaborate in Agile ceremonies with a team of engineers and analysts.
The Associate Engineer will assist in designing and developing data storage systems and enhance data management processes. Key responsibilities include developing data pipelines in Snowflake, collaborating with the DW team for data mapping, and maintaining production data pipelines while automating data transformation tasks.
As a Senior Data Engineer, you will enhance the online car market user experience by building and maintaining data pipelines, simplifying tools, and driving improvements while collaborating with a team of Senior Engineers and managers.
The Senior Data Ops Engineer will maintain data and database platforms, ensuring high data availability and performance. Responsibilities include managing data pipelines, collaborating with engineers, automating infrastructure with Terraform, and integrating Docker in CI/CD processes.
As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.
As a Lead Data Engineer, you will shape the future of online car markets, leading complex data projects, organizing teams, and designing new data solutions while working closely with engineers and management in a collaborative environment.
As a Senior Data Engineer at Auros, you will be responsible for developing and maintaining high-throughput data architectures, analyzing and automating data quality improvements, and building trading analytics systems. You will collaborate with trading teams to enhance data analysis and systems for executing trades globally.
As a Data Systems Engineer, you will develop key technology for processing blockchain data, implement storage strategies, optimize performance in multi-tenant systems, and build data transformation pipelines. You will also leverage Apache DataFusion and contribute to the engineering of core components of The Graph.
The Senior Data Science Engineer will develop applications, design scalable services for data processing, work on machine learning infrastructures, and contribute to generative AI projects. Responsibilities also include delivering high-quality products using Agile methodologies and engaging in continuous professional development.
As a Senior Data and AI Engineer, you will lead AI strategy, design data pipelines, and deploy AI models using cloud infrastructure while collaborating with teams to integrate AI solutions, ensuring responsible innovation.
The Senior Data Engineer will design, develop, and maintain data pipelines, write complex SQL queries, implement data models in Snowflake, and develop Python and C# scripts for data processing. The role involves collaboration with data analysts and ensuring data quality while optimizing data storage and performance.
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