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!Conform celor 2,756 recenzii, clienții îi evaluează pe Data Engineers cu 4.95 din 5 stele.
Angajează Data Engineers
I'm looking for a Data Engineer to help me with an upcoming project. The project is to do data analysis and the data will need to be collected and stored securely. There is a need to integrate with existing systems and data visualization may be required. An ideal candidate would have knowledge and experience working with data, databases and other systems. They must be able to analyze data and create meaningful insights that can be used to inform decisions. The individual should also have a comprehensive understanding of cybersecurity and data protection. I'm looking for someone who is reliable and can complete the project on time. If you think you have the required skills and are passionate about data engineering, please apply for this job.
Our project is completely based on the plant species and this need to categorize complete dataset into the different species. Knowing which species is the largest among the different species.
Looking for a lead developer with snowflake expertise. Requirements 1. Design, develop and deliver end to end solution for snowflake integration 2. Design considerations while processing large amount of data in snowlfake 3. Need expertise in Snowflake listings, native apps and clean room 4. Knowledge about CDP, DSP, audiance segmentation, 1st party data is a big plus. 5. Readiness to work in team and good communication is a must.
Confirmis () is a Singapore-based business information provider specializing in connecting businesses with global capabilities; comprised of industry veterans, Confirmis business model is designed to overcome perennial lack of data (let alone quality data) to support effective decision making, particularly in developing economies. As a Site Verifier, you will be responsible for verifying a company’s existence through visual data by conducting a site visit to ensure that we provide reliable and accurate information to our client. JOB DESCRIPTION: • Conduct basic verification with the subject company’s authorized representative, such as line of business, key executives' name, etc. • Take pictures of the subject company and its vicinity, as per Confirmis&rsq...
Data Engineer Job Description + Bachelors in Computer Science or Equivalent with 8 years of experience in Data Engineering and data warehousing or Master with 5 years worth of experience in Data Engineering and DataWarehousing. + Informatica cloud (IICS) – Expert level working knowledge in Integration Service and DI . + 7+ Years of experience in IICS / Informatica + Expert level working Knowledge of RDBMS (Oracle & Postgresql ) and Snowflake Data Cloud. + At least 7+ years of working experience in RDBMS and snowflake will be a plus. + Experience in API based integration, Real time integration. + Familiarity with AWS is needed. + Interfacing with other systems such as Salesforce using IICS is a must. + Knowledge of other informatica products is always a plus + Good communication ...