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Top Data Engineer Jobs in Portugal
As a Principal Data Engineer, you will design and maintain scalable data pipelines and ETL processes, work with stakeholders to understand requirements, ensure data quality, and optimize performance of data infrastructure. You will also participate in on-call rotations for data platform support and keep updated on industry trends.
The Senior Data Engineer will design and build data processing pipelines using AWS services and open-source software, collaborate with teams to define requirements, and improve the codebase. This role calls for extensive experience in ETL pipeline design, data applications, and NoSQL implementation, focusing on audience and identity data platforms.
This role focuses on leveraging Walmart's data through the development and productization of data solutions. The Data Engineer III will design software solutions, facilitate discussions on competing requirements, oversee junior programmers, and create training documentation. They will also identify operational needs and drive execution plans to improve business performance.
The Performance Science Data Engineer role involves utilizing data science techniques to enhance live entertainment experiences, focusing on analyzing performance metrics and improving overall event execution. The position may collaborate cross-functionally to drive data-driven decisions and optimize audience engagement.
As a Lead Data Engineer at Capital One Shopping, you will design and develop data solutions, collaborating with Agile teams on data analytics and management at scale. Your work will involve programming in languages like Java, Go, and Python and utilizing various data platforms to manage and process large datasets. You'll also mentor team members and stay updated on tech trends to deliver impactful cloud-based solutions.
As a Senior Data Engineer, you will design and develop innovative data solutions, analyze requirements, and lead discussions with teams to enhance decision-making processes. You will mentor junior programmers and create training documentation, ensuring the completion of business objectives through effective data utilization.
The Data Engineer I designs and maintains enterprise-level data pipelines, implementing complex processes that interact with a centralized data warehouse. Key responsibilities include developing data extracts, creating SQL queries, and collaborating with analysts and architects on data pipeline design. The role involves testing, debugging, and thoroughly documenting data processes.
As a Senior Data Engineer, you will develop and productize B2B data initiatives, create software design and architecture, analyze requirements, and guide discussions among teams. You will also oversee junior programmers and create training documentation while driving execution of various business plans.
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The Senior Software Engineer will design, develop, and maintain software solutions, collaborating with various stakeholders to meet product requirements. Key responsibilities include ownership of code quality, implementing AWS-based architectures, and following best practices in development and deployment. This role requires expertise in object-oriented programming and familiarity with agile methodologies.
The Principal Data Engineer is responsible for leading the design and implementation of scalable data architecture and pipelines for a casino management system. This role includes developing data ingestion processes, managing data integration from various sources, ensuring compliance with data regulations, and optimizing data performance while mentoring engineering teams.
As a Data Engineer III at Walmart Global Tech, you will develop and productize B2B data initiatives, creating software design and architecture, analyzing requirements, and driving business plans. Your role involves supporting less experienced programmers and ensuring continuous learning and adaptability within the team.
As a Snowflake Data Engineer, you will design, develop, and maintain data pipelines and solutions using Snowflake. Responsibilities include collaborating with data architects for technical solutions, optimizing performance, ensuring data quality, leading migration projects, and implementing data lakes.
The Associate Data Engineer will work on modifying systems to support analytics, install and configure Master Data Management solutions, develop data profiles, perform quality assessments, and implement data cleansing processes. The candidate will collaborate with the team to define requirements and troubleshoot software issues.
The Data Engineer III will lead in architecting and implementing data management systems, writing ETL scripts, and collaborating with stakeholders to create data solutions. Responsibilities include mentoring junior engineers, advising on technical improvements, and documenting processes to ensure high-quality data availability for the organization.
As a Data Engineer at Rhombus Power, you will design and implement data engineering activities to support national security projects. You'll develop code for data ingestion and management, work with APIs and SQL, collaborate across teams, and enhance data platforms.
As a Senior Software Engineer at Doximity, you will improve data systems, lead projects from inception to delivery, and collaborate with cross-functional teams to develop pipelines and methodologies for data extraction and analysis.
As a Tech Lead Data Engineer at Freddie Mac, you will develop data storage and analytic solutions using cloud technologies and microservices architecture, focusing on ETL processes, data governance, and collaboration with analysts to drive business insights.
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
The Senior Software Engineer will develop and optimize the data infrastructure, enhance machine learning workflows, research and implement new technologies, and improve collaboration across teams. Responsibilities include ensuring system reliability, building tooling for engineering, analytics, and product teams, and contributing to architectural discussions.
Deckers Brands is seeking a passionate Data Engineer to expand their data ecosystem, collaborate in designing future data infrastructure, and make data accessible throughout the organization. The role involves developing integrations, producing datasets, collaborating in AWS infrastructure design, writing production-level code, and creating data pipeline monitoring automation.
As a Principal Associate in the DLP engineering team, you will create, implement, and maintain DLP controls utilizing SaaS and IaaS solutions to reduce risk. Responsibilities include developing secure system solutions, analyzing workflows, documenting DLP solutions, collaborating with IT teams, and providing expertise in DLP security controls.
The Lead Data Engineer will collaborate with Agile teams to design and develop technical solutions, working with machine learning and full stack systems. Key responsibilities include utilizing programming languages and cloud technologies, mentoring team members, and delivering cloud-based solutions that enhance customer experiences.
The Data Engineer III will develop and productize B2B data initiatives at Walmart, focusing on software design and architecture, analyzing competing requirements, creating training documentation, and overseeing junior programmers. They will drive project execution and ensure alignment with business needs.
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As a Senior Data Engineer, you will design and build a data platform for analyzing financial markets, collaborating with traders and researchers to manage data sources and ensure data quality. You will mentor junior team members and contribute to project management, overseeing data ingestion and maintaining system reliability.
As a Biz App and Data Engineer, you will collaborate with cross-functional teams to develop software solutions and enable scalable Electronic Design Automation in a Cloud environment. You will engage in data analytics for Tapeout processes and develop applications using technologies such as Python, Angular, and Java on AWS or Azure platforms.
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