Data Engineer Jobs
A Data Engineer is highly skilled in analytics, data management, and developing data architecture, making them the perfect addition to any organization in need of real-time insights. Data Engineers create the pipelines and data architecture necessary for Business Intelligence teams to access archives of data from which to analyze trends, providing them visibility into the current state of their business. In short, Data Engineers make it possible for companies to make informed decisions based on data quickly and accurately.
Here's some projects that our expert Data Engineers made real:
- Developed ETL pipelines from sources such as APIs, web services and databases, ensuring efficient data extraction while converting source data into desired formats.
- Designed custom databases and data models e.g. NoSQL and Big Data technologies such as Hadoop and Hive to store large datasets.
- Optimized data analysis processes using Python libraries such as pandas, numpy and scikit-learn to generate pattern recognition algorithms.
- Implemented advanced analytics techniques such as clustering analysis and forecasting models at scale.
- Automated data pipeline processes using source control platforms such as GIT, allowing teams to access and modify pipelines without breaking production code.
Data Engineering is an essential practice for any organization looking to analyze their historical business performance and make informed decisions on real-time data. The projects here are a testament to the power of Data Engineering; our experts have proved that with the right skillset businesses can cut through their complex datasets with ease – letting them focus on how best to use their crisp new insights. If you’re looking for an experienced and reliable comparison of your data then we invite you post your project now and hire a Data Engineer on Freelancer.com today!
De 5,231 opiniones, los clientes califican nuestro Data Engineers 4.84 de un total de 5 estrellas.Contratar a Data Engineers
Within the framework of a project, being able to manage issues related to AI
I have a Ubuntu 22.04 server, currently with spark running perfectly. I want, however, integrate spark with Hive warehouse. In this project, you're required to perform the installing of Hadoop and hive and, after that, update settings in spark so it can connect with hive warehouse properly. You'll be provided with remote access via TeamViewer or anydesk.
FARMING DATA Data: Download this Excel Workbook including these 3 tables: ● ○ Prices_Crops_Livestock ○ Production_Crops_Livestock. ○ Land_In_Use NOTE: These tables contain agricultural information for 20 countries and a list of various crops and livestock products. The data is sourced from the Food and Agriculture Organization of the United Nations where you can find definitions and standards. Scenario: Imagine you're a data analyst at a global agricultural organization, entrusted with enhancing worldwide agricultural production understanding. American stakeholders seek a comprehensive view of global farming trends as they evaluate diverse food supply chain initiatives. Audience: American stakeholders. Insights: Address several questions to gain insights about your data. Select fr...
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