Analyzing multi petabyte data sets in real time. Python data analytics experience. ...
DBA functions: plan & execute database schema changes, bottleneck analysis, outage prevention/resolution, server/database performance improvements, database maintenance, database recovery. Work will include designing, enhancing, and developing MongoDB databases and Kafka Clusters, and may occasio...
Given the rapid pace of change in the data and analytics role, the Senior Data Engineer will also be a key technical visionary for GCRH, helping the company find new efficiencies using technology by building a deep understanding of GCRH’s value proposition and processes, continually staying infor...
Experience in at least one big data product: Databricks, Elasticsearch, Snowflake. Experience with various data formats: Parquet, CSV, JSON, XML, Relational Data. Our specialties include end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering. Colla...
The candidate will work to understand what data needs to be migrated, what business logic needs to be applied and then work through that data. Insight Global is seeking a Data Engineer to join one of Calgary's large Energy/Waste/Environmental companies for a 3 month, fully remote, 40 hour per wee...
PROPOS DE VANTAGE DATA CENTERS. Vantage Data Centers alimente, refroidit, protège et connecte la technologie des plus grands joueurs hyperscale, des fournisseurs de solutions infonuagiques et des grandes entreprises. ...
The Data Scientist will play a crucial role in turning complex data into actionable insights that drive business decisions and innovation. We are seeking a highly motivated and skilled Data Scientist to join our dynamic team. This position involves analyzing large datasets, developing models, and...
Très compétent dans le Stack Data Science Python (NumPy, SciPy, Pandas, Scikit-learn, Jupyter, IPython), l'apprentissage automatique et les statistiques, la visualisation des données, les tests A/B, les problèmes de Bandit, les systèmes de recommandation et l'apprentissage par renforcement;. ...
We are seeking a skilled Senior Data Engineer with a strong emphasis on leadership capabilities to join our DataOps team and play a key role in building and optimizing data pipelines on. Contribute to the implementation of Data Warehouses or Big Data projects using technologies like Kafka, DataPr...
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Adhere to security protocols and best practices to ensure the integrity and confidentiality of data stored in the data center. We are seeking a highly skilled and motivated individual to join our team as an IT Data Center Operations lead as a consultant. This contract role will be focused on a da...
No Data Entry experience needed. Data Entry Clerk Work From Home - Part Time Remote Focus Group Panelists. Data entry clerk experience is not necessary. If you are a data entry clerk or someone just looking for a flexible part time remote work from home job, this is a great way to supplement your...
We are a team of doers, seasoned engineers, hackers and builders, working on the future of streaming data. Funded by premier investors including GV and Lightspeed, Redpanda is building the streaming data platform for developers. We’re evolving streaming beyond the Apache Kafka® protocol into a un...
Reportingto Principal, Safety and Operational Analytics, the incumbent will beresponsible for developing and launching BI and Data solutions based on thedata collected through various safety and operational data sharingprograms. Keep abreast of any developments related to machine learning, artifi...
As a Data Platform Technical Leader, Azure, you participate in IT efficiency and quality by analyzing, designing, configuring, developing, maintaining and upgrading software products in accordance with the organization’s requirements. Analyze and develop software products (design, code, automate ...
We are seeking a seasoned and passionate Data Modeling Expert to join our Developer Relations organization and drive enablement with MongoDB's Document Model and Developer Data Platform capabilities. In addition to being a general expert in data modeling you will develop or build on expertise in ...
Collaborate with data engineers and ETL developers to design, implement, and optimize data integration processes for loading data from various source systems into the Oracle Fusion Analytics data warehouse. Design and implement data models and schemas to support analytical reporting requirements,...
The person in this position will also review validation, verification or transfer of analytical methods and send stability summaries to customers.Review documentation on chemistry, microbiology, raw materials and packaging materials.Review documentation for validation, verification or transfer of...
Description sommaire des tâches.Notre client alimente, refroidit, protège et connecte la technologie des plus grands joueurs hyperscale, des fournisseurs de solutions infonuagiques et des grandes entreprises.Présente en Amérique du Nord et six en Europe, l’entreprise innove dans la conception des...
Notre client alimente, refroidit, protège et connecte la technologie des plus grands joueurs hyperscale, des fournisseurs de solutions infonuagiques et des grandes entreprises.Présente en Amérique du Nord et six en Europe, l’entreprise innove dans la conception des centres de données pour offrir ...
File Shipment creation- data entry. ...
In the role of Senior ML Data Analyst, you are key in linking our customers, our data science team and our product management team. Experience in working with large datasets; supply chain data sets an asset. As a Senior ML Data Analyst, you will:. ML models with our data science team. ...
Develop, maintain, and optimize data processing infrastructure, including ETL pipelines, data warehousing, and data lakes. Collaborate closely with data architects, scientists, and analysts to meet business data requirements. If you are a data engineering enthusiast eager to leverage your skills ...
Data Architecture: Design and develop large-scale data systems, including databases, data warehouses, and big data platforms, with a strong focus on data governance and compliance requirements. Data Governance:Champion and enforce data governance practices, including data lineage, metadata manage...