As a data developer, you will be part of a dynamic team in an agile environment, collaborating with product managers (PMs) and other stakeholders. Your role will be key in building and maintaining a Data Lakehouse using Azure and Databricks, ensuring the correct delivery and availability of data for different areas of the business.
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In this position, you will be responsible for designing and implementing data pipelines (ETL), ensuring the integrity and quality of information, conducting audits to identify inconsistencies, correcting them, and ensuring adherence to data governance standards. Demonstrate deep knowledge in data engineering to build and maintain non-interactive (batch, distributed) and real-time data pipelines with high availability.
The Data Analyst plays a critical role in analyzing and processing automotive data to ensure it meets internal standards for accuracy, timeliness, and completeness. You will support ongoing improvements across the content department, collaborating closely with internal partners to connect data-driven tactics to outcomes and recommend future activities. You will transform raw data into actionable insights that drive strategic decisions by identifying trends, optimizing processes, and uncover opportunities for growth.
Valtech is looking to hire a Data Scientist to join our team in Brazil. In this role, you would perform root cause analyses of known problems in production that generate inadequate results in models and develop data pipelines to help stakeholders make data-driven decisions. You would also create dashboards with Tableau, PowerBI, or personalized web applications and conduct in-depth analyses to guide business decisions.
The Data Platform team at Pismo integrates data produced by Pismo's Banking as a Service/Payments platform with its clients through batch processing or near real-time events with a robust, low-latency, and 100% cloud-based architecture. As a senior technical contributor on Pismo’s data stack, you'll lead the design and development of robust, scalable data pipelines using modern Big Data frameworks and champion engineering excellence in a remote position.
Join an exciting journey to transform data and analytics at Oetiker using cloud technologies like Microsoft Fabric and Power BI. As a key member of our small international analytics team, you’ll help implement enterprise planning in Power BI and contribute to core data engineering and analytics tasks. Based on your area of expertise and interests, the position can be tailored for best fit.
Your Master thesis aims to assess the efficacy of LLM-based rerankers for patent retrieval. You will research state-of-the-art methods from the literature and analyze their performance in the context of patent data. You will implement computational experiments to identify advantages over prior methods, as well as areas for improvement and develop novel approaches to address identified limitations.
$29,722–$29,722
USD/year
Label and rank machine learning data, with a focus on code-related content. Complete reading or coding-based tasks efficiently and attentively while maintaining meticulous attention to detail. Propose optimizations to improve data quality and model performance in coding tasks.
Develop and maintain data ingestion pipelines and integrate data from various sources, such as APIs and relational databases. Collaborate with business and analytics teams to understand data requirements. Ensure quality, security, and governance of the ingested data. Document processes and best practices in data engineering.
An experienced and technically capable Data & Dashboard Analyst is needed to provide parental leave cover for a key member of our Business Development team. This role plays a vital part in the development, maintenance, and enhancement of our Power BI dashboards, which support strategic decision-making across Business Development, Marketing, Finance, and CRM.