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Top Data Engineer Jobs in Portugal
As a Senior Data Engineer at AngelList, you will design, build, and maintain scalable ETL/ELT pipelines, optimize data storage solutions, ensure data availability, and collaborate with stakeholders on data needs. You will also work on data architecture strategies and implement data governance policies.
The Senior Data Engineer will design, develop, and maintain complex ETL pipelines using SQL and PySpark, focusing on processing time-series data and ensuring data quality. The role involves collaborating with product stakeholders and contributing to the production of data products.
As a Senior Engineer on the Core Data team, you'll design and build a Cloud Data Warehouse focused on incremental updates, develop ETL pipelines for petabytes of data, and collaborate to improve data processing and infrastructure scalability and efficiency.
Join Recorded Future's Talent Network as a Data Engineer. The role involves developing and managing data pipelines, scraping technologies, and APIs while contributing to data processing and quality analysis. Candidates should be passionate about leveraging technology for data curation and structured outputs for cyber security intelligence.
The Staff Data Platform Engineer role involves collaborating with customers to evaluate needs and provide architectural guidance, designing scalable data solutions, and integrating DevOps practices to enhance service adoption. This role requires hands-on problem-solving and driving technical initiatives to improve user experience.
The Staff Software Engineer will design and implement data processing pipelines for computer vision solutions in satellite imagery analytics, participate in the project lifecycle from development to deployment, and lead MLOps and data ETL projects. They will collaborate on technical strategies and maintain high production-quality code.
The Associate Data Platform Architect will design data architectures for scalable platforms, optimize data ingestion frameworks, oversee multi-cloud operations, and integrate diverse data sources. The role involves leading data governance efforts, collaborating with Cloud Architects, and providing client-facing support while ensuring compliance with security standards.
As a Senior Data Engineer, you'll design and build scalable data solutions, collaborating cross-functionally to meet business requirements. You will focus on developing reporting platforms, mentor engineers, and ensure high standards in data engineering practices.
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The Senior Site Reliability Engineer will build and maintain the data infrastructure for the Wikimedia Foundation's fundraising program, implementing data quality monitoring and collaborating with teams for data integration. Responsibilities include managing distributed data systems, ensuring compliance with regulations, and enhancing data processes.
As an Analytics Engineering lead within the Ads Data Science team at Reddit, you will develop robust data pipelines and user-friendly tools, ensuring data quality and reliability for effective data analysis. You'll mentor data analysts and collaborate with different teams to foster a data-driven culture focusing on automation and self-service data access.
As a Staff Software Engineer on the Data team, you'll design and optimize data models, develop data pipelines, and work closely with various teams to improve data accessibility and quality. Your role will also involve mentoring engineers and ensuring data governance while advocating for a scalable data platform.
As a Senior Data Engineer at Mozilla, you will focus on the Analytics Engineering team, designing and maintaining scalable data models and ETL pipelines, improving data infrastructure, and ensuring data quality and compliance. You'll collaborate with data scientists and other engineers to support data-driven decisions and improve access to data across the organization.
As a Senior Data Engineer at Mozilla, you will focus on the Analytics Engineering team, designing scalable data models and ETL pipelines, enhancing the data platform, and ensuring data governance and compliance. You'll collaborate with data scientists and engineers to facilitate data-driven decisions and optimize data processes.
As a Senior Software Engineer on Coinbase's Data Platform team, you will design, build, and operate foundational data services, including storage solutions, data orchestration pipelines, and data integration SDKs. You will enhance data availability and processing for analytics and machine learning by creating scalable systems.
The Senior Data Engineer will design and implement data products, collaborate with teams using Agile/Scrum, and develop high-volume data processing solutions. Responsibilities include optimizing existing solutions, analyzing data, managing data pipelines, automating processes, and ensuring quality across engineering practices while mentoring other engineers.
The Senior Data Engineer will design, maintain, and enhance the company's data analytics pipeline, focusing on data warehouse and ETL processes. Responsibilities include developing tools for monitoring data health, collaborating with stakeholders, and ensuring data accuracy and reliability.
As a Data Migrations Engineer, you will be responsible for migrating client datasets, troubleshooting issues, managing data migration queues, enhancing migration processes, and collaborating with developers on engineering initiatives. You will also be involved in automating migration testing and documentation efforts to ensure successful implementation.
As a Senior Data Engineer, you will develop and enhance data infrastructures, improve data quality, and design systems for performance and reliability. You'll partner with product managers and data teams, build batch and streaming pipelines, and ensure effective data governance. You will also drive technical projects and optimize workflows.
Responsible for building and supporting a petabyte-scale data platform in the cloud and providing foundations for ML Data Platform tools and services. Lead development, optimization, and productionization of data processing platform. Own technical projects, contribute to product roadmap, and mentor junior engineers.
As a Software Engineer in the Data team, you will design, test, and implement data products and systems, utilizing big data and AI technologies. You will collaborate with stakeholders, maintain CI/CD pipelines, and support live data products while fostering continuous learning within the team.
As a Senior Data Engineer at Ex Parte, you'll work alongside product owners and data experts to build data solutions, enhance data pipelines, and support a distributed data platform. You will also contribute to architecture design, optimize schemas, and ensure production-quality coding in a collaborative Agile environment.
As a Senior Data Engineer, you'll design and maintain ETL pipelines for healthcare data, optimizing architecture, ensuring data quality, and implementing security measures. You will mentor junior engineers, troubleshoot data issues, and document processes while collaborating with various teams to meet data requirements.
Seeking a Senior Staff Engineer with 10+ years of experience in data engineering, proficient in Python and Azure Synapse. Responsibilities include converting technical requirements into design, reviewing architecture, resolving coding issues, and conducting POCs. Must have strong analytical and communication skills.
As a Staff Software Engineer on the Data Snapshot team at Reddit, you will design and create a product for delivering high-quality data to partners, enhance the data infrastructure for real-time processing, and mentor other engineers. You'll collaborate with teams across the organization to ensure data quality and consistency at scale.
The Lead Data Engineer will oversee the design, construction, and optimization of data orchestration and pipeline architecture. Responsibilities include implementing ELT/ETL processes, managing data architecture, supporting multiple teams, and mentoring junior engineers. The role demands a hands-on approach to build data systems while contributing to the company's data strategy.
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