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!
From 4,199 reviews, clients rate our Data Engineers 4.92 out of 5 stars.Hire Data Engineers
I am looking to get this done urgently. The task requirements are attached in the PDF (see the link). I want regular updates of the code and how things are going. The freelancer needs to be very skilled at Python (FastAPI, Spark and kafka) The code needs to be clean, designed architecture. if need for example async code validation, if u use fastapi for example, you can use pydantic for example, regarding the reading from into kafka with validation i guess u may use asynio. You might not need it (i'm not sure myself) the theoretical part with diagram its better explanation in the PDF LINK TO THE PDF--->
Please take a look at the PDF first. I want this done within one day. I am fine with your budget. Main thing is that the developer needs to be highly communicative and respond quickly. The work needs to look professional!
Please take a look at the PDF first. I want this done within one day. I am fine with your budget. Main thing is that the developer needs to be highly communicative and respond quickly. The work needs to look professional!
Please have a look at the pdf. It should be professional and should be delivered fast
Looking for a skilled data engineer with at least 4 years of experience, who has worked with Snowflake before. The project involves (goal of project not provided) and requires someone who can efficiently manage and process a large amount of data. Ideal candidates should have experience with data migration, performance optimization, and building data pipelines.
Instrucciones: --- Realizar los ejercicios en RMarkdown, en el que además de los códigos de R para ejecutar los ejercicios, incluirán los comentarios que consideren oportunos. Por lo tanto, deben entregarlo en formato HTML. --- Incluir en el RMarkdown todos los procesos que hayan realizado. --- Es necesario hacer comentarios aclaratorios de lo que se hace y se obtiene, así como interpretar los resultados. 1. Lectura de datos: --- En el fichero se tiene una serie diaria de ventas de un comercio minorista. Se pide: 2. Leer fichero de datos: --- Obtener totales mensuales y convertir la serie de ventas en objeto ts. --- Realizar un análisis estadístico descriptivo y comentar las caracteristicas dinámicas de la serie. Media movil --- Ajustar...