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Top Data Engineer Jobs in Portugal
As a Staff Data Engineer in the Ads Data Science team at Reddit, you will develop data infrastructure, manage data pipelines, and create user-friendly tools. Your role includes ensuring data quality, mentoring analysts, and leading initiatives to foster a data-driven culture within the organization.
As a Senior QA Engineer at Altruist, you will create test scripts, validate data integrity, and develop automated testing systems. You'll analyze raw data, conduct testing against business requirements, and collaborate closely with development teams to ensure high data quality in the financial services domain.
The Senior Data Engineer designs and develops business applications as part of an Agile team, engages with stakeholders to gather requirements, and implements solutions using Azure technologies. They are responsible for data movement, dashboarding, and ensuring architecture aligns with best practices, mentoring team members, and conducting vendor evaluations.
In this role, you will enhance and improve the performance and reliability of the existing Data Platform Services. You'll design and build automated onboarding capabilities and integration solutions using Databricks, ensuring data quality, security, and compliance while collaborating with cross-functional teams.
As a Senior Data Engineer, you will design and optimize data pipelines, ensuring data consistency and reliability. Collaborating with product and engineering teams, you'll enhance data solutions for product services, drive best practices, and participate in on-call rotations to maintain system reliability.
The Staff Software Engineer will lead the Data Platform team at Abnormal Security, mentoring engineers and shaping the platform's architecture to support AI/ML applications, while building scalable systems and tools for operational excellence.
As a Senior Azure Data Engineer at OmniData, you will lead data warehousing and analytics projects, providing strategic direction to clients, while collaborating with skilled teams. Your role requires developing analytical solutions using Azure technologies and ensuring client success in a fast-paced consulting environment.
As a Software Engineer for Growth Data Engineering at Stripe, you will design and develop data pipelines and models that serve the Growth, Sales, and Marketing teams. You'll be working with various teams to identify data needs, build scalable data products, and enhance the customer experience through data-driven insights. Key responsibilities include managing data pipelines, helping the Data Science team, and refining data infrastructure.
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As a Senior Software Engineer on the Identity and Observability team, you will design and implement software systems for the ngrok platform, collaborate with stakeholders, conduct code reviews, troubleshoot issues, improve customer satisfaction through data insights, and mentor other engineers.
As a Lead Data Engineer, you will design and manage data solutions, modernize practices, and guide teams in building scalable data pipelines while ensuring data governance. This role involves collaboration with business partners to enhance analytics capabilities and improve data quality across projects.
As a Staff Software Engineer on the Runtime team, you'll develop cutting-edge distributed data storage and processing systems, focusing on improving query performance and accommodating workloads from ETL to data science. Responsibilities include contributing to projects like Apache Sparkâ„¢ and Delta Lake, optimizing systems for speed and reliability, and driving significant deliverables over the long term.
The Senior Data Engineer will lead the development of data and analytic solutions by building reusable components of a data pipeline, collaborating with technical and business stakeholders, and optimizing data for ingestion. Responsibilities include designing workflows, implementing automated solutions, and conducting analysis to troubleshoot data issues.
As a Senior Data Engineer on the Growth team at Lyft, you will own the data architecture and pipelines that support growth campaigns. Responsibilities include evolving data models, coordinating with partners, improving data quality, and conducting performance tuning for SQL and MapReduce jobs.
The Senior Data Systems Engineer will support Vistrada’s Business Intelligence team by addressing operational challenges related to data systems. Responsibilities include developing technology innovation plans, data modeling, ETL processes, report/dashboard creation, and designing data analytics platforms, along with potential machine learning applications.
As a Staff Software Engineer at Ripple, you will optimize interactions with digital asset markets by delivering scalable machine learning services. You'll design tools for the ML lifecycle, collaborate with engineers and scientists, and maintain high engineering standards in production code.
The Data Scientist/Engineer at AnaVation will collaborate with intelligence and cybersecurity experts to enhance data analytics for National Security missions. Responsibilities include mining complex datasets, optimizing data pipelines, developing predictive models, and ensuring data compatibility for analytics purposes.
The Senior Data Engineer will design, build, and maintain ETL pipelines to support data operations and ensure efficient data handling. This role requires extensive hands-on data engineering experience, expertise in SQL and additional programming languages, and proficiency with cloud systems and various data technologies.
As a Big Data Engineer, you will analyze requirements, design and implement big data pipelines, optimize system APIs, enhance existing applications, and develop batch jobs for data extraction from various sources. You will work with technologies like Hadoop, Kafka, and Spark, and engage with clients to understand their architectural and performance needs.
As a Senior Software Engineer at Databricks, you will develop advanced distributed data storage and processing systems, enhancing performance and expressiveness for a range of data-centric tasks. You'll work on projects like Apache Spark and Delta Lake, optimizing systems for reliable data management and performance engineering.
As a Full Stack Engineer at a16z, you will design, develop, and maintain both front-end applications and backend services, working with technologies such as Databricks and LLMs. You will collaborate with cross-functional teams, ensuring high availability and reliability of applications while implementing best practices for code quality and security.
The Sr. Data Engineer role involves designing and optimizing data platforms, building data pipelines, and collaborating with teams to enable data quality and governance. The engineer will drive efficiencies using Snowflake and AWS services while mentoring junior team members and ensuring compliance with data standards.
The Senior Data Engineer at YouVersion will design and deliver scalable data pipelines, enhance data governance and quality, and collaborate with various teams to support analytics and decision-making. The role emphasizes mentoring and maintaining ETL processes, ensuring the integrity and reliability of data across the organization.
The Sr. Fraud Data Science Engineer will develop ML models to detect and predict fraud, automate workflows, and provide data-driven insights. The role involves collaborating with teams to enhance fraud detection capabilities and delivering root cause analysis for scale.
The Senior ML Engineer will design, develop, and maintain AI/ML infrastructure solutions to support large-scale model training and deployment. Responsibilities include optimizing distributed training frameworks, collaborating with ML researchers, and innovating infrastructure practices.
As a Senior Data Engineer, you will create and maintain data pipelines, manage data mapping among sources, administer cloud and server services, and provide infrastructure services for big data and cross-domain data transfers.
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