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Top Data Engineer Jobs in Hungary
As a Senior Data Engineer at Cloudera, you will design and implement data pipelines that ingest, curate, and provision data to support business operations and analytics initiatives. You will collaborate with architects, develop data transformations, create real-time data flows, and monitor data quality. The role requires expertise in Big Data and Cloud technologies with a strong focus on delivering reliable data services.
Seeking an accomplished Data Platform Engineer with 5-7 years of experience to lead implementation of a data platform for advanced analytics and AI initiatives in the healthcare industry. Responsibilities include designing and implementing data engineering solutions, driving data platform development, collaborating with business teams, and optimizing data pipelines.
As a Data Platform Engineering Specialist, you will lead the design and implementation of scalable data pipelines and architectures. Collaborate with global teams to drive advanced analytics and support the data engineering team with mentorship. Optimize data solutions using ETL/ELT processes, cloud technologies, and distributed processing, ensuring seamless data delivery for healthcare initiatives.
As a Lead Engineer at Target, you will guide the engineering team in developing application architecture, evaluate and implement new technologies, lead testing and debugging efforts, and create standards for high-performance deliverables. You will also manage complexity in service design and risk mitigation while ensuring the maintenance of data management solutions and best practices.
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.
In this role, you will design and maintain scalable data warehouse solutions, implement ETL processes, design data models, enforce data governance policies, and collaborate with cross-functional teams to enhance data accessibility for reporting and decision-making.
As a Junior/Mid Data Analytics Engineer, you'll develop and maintain reports and dashboards, perform data visualization, conduct training sessions for customers, and manage ETL processes while collaborating with stakeholders to gather and analyze requirements.
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.
The Data Engineering Specialist will oversee the backend application, focusing on data ingestion, processing, pipeline orchestration, and API development. Responsibilities include optimizing queries on the Snowflake platform, resolving pipeline issues, and promoting best practices in code management. The role requires collaboration for seamless server-side and client-side integration while managing the entire product lifecycle from design to support.
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