Etl Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
We are trying to extract our operational data from a past website platform that we no longer use. Scrapers I have tried before don't seem to fit because I need to scrape the contents of dialogue. See attached word file for more details. All this data will be pushed into a database that I'm trying to design for the company
Skills: "Extract, Transform and Load (ETL)" Data scraping Web scraping
Hourly - Expert ($$$) - Est. Time: 3 to 6 months, 30+ hrs/week - Posted
Hi there, This task is about finding a way to extract data from Danish banks via a signup via mobile to the Danish Banks so a user can be using their transactions and such a way that transaction data can be categorized e.g. bikes, cars, painting etc. Please take a look at http://www.spiir.dk/ the needed way is to get data from the banks like they do and then further data crunch users transactions. A work around without using the API (from the banks) is very much needed. Please see the attached ppt to get an understanding of the parts thats used from a user aspect when signing up to Spiir. Regarding http://feedback.spiir.dk/topics/540-spiir-api/ this is saying that they want to make an API, but as I see it they have not yet. You have to check this page: http://feedback.spiir.dk/topics/64 I already wrote to Spiir, asking how they did it and they said: “We will not disclose our solution with the banks unfortunately :)” You has to extract the data like they did via mobile parts for applications Observations: - Spiir has tie up with a Bank which can give them details on one or other way to accomplish requirements. We don't know what law has allowed in Denmark and how bank operates. But surely they are accessing data with some sort of access which we assume will be via bank - They can say that they are not using any API but internally it is difficult to prove that what solution they are using - User consent of username and password given and under law what data can be accessible needs to be investigated Best regards MTN
Skills: "Extract, Transform and Load (ETL)" API Development Data Modeling Data Science
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
So you'll have a global list of available types. 7) We'll rinse and repeat this process until we have the franchise industry's global data in our data warehouse. You'll need to be proficient with ETL, scraping, project management, managing international teams, data management, virtual communication, and project execution.
Skills: "Extract, Transform and Load (ETL)" Data Analytics Data Entry Data scraping
Fixed-Price - Entry Level ($) - Est. Budget: $5 - Posted
Goal: To become certified in Informatica Master Data Management (MDM) as a Developer, Specialist. Here is a link to it: https://now.informatica.com/MDM-Hub-9x-Developer-Specialist-Certification.html Please provide a detailed proposal and plan of action, in terms of what you can do for me, what can you help with and how will you help me. Thanks.
Skills: "Extract, Transform and Load (ETL)" Amazon Relational Database Service Analytics Business intelligence
Hourly - Expert ($$$) - Est. Time: Less than 1 month, 30+ hrs/week - Posted
I am looking for a developer who has completed multiple projects as a Salesforce developer, able to customize Salesforce and build Salesforce tools, and who in addition understands ETL and BI. Project will be billed hourly since the scope is somewhat loose.
Skills: "Extract, Transform and Load (ETL)" Salesforce App Development Salesforce Wave Analytics Salesforce.com
Fixed-Price - Intermediate ($$) - Est. Budget: $150 - Posted
We need to scrape, clean, and organize data. Most important is location/country. TO BE DONE 0) Acquire this data, structure in Excel, extract links as separate data fields: https://en.wikipedia.org/wiki/List_of_countries_with_Burger_King_franchises 1) Acquire this data, structure in Excel, extract links as separate data fields i.e. Mcdonalds Denmark.: https://en.wikipedia.org/wiki/List_of_countries_with_McDonald%27s_restaurants 2) For each country, acquire all structured data in the right hand panel i.e. https://en.wikipedia.org/wiki/Gibraltar 3) List of Crossfit affilliates and all data associated: https://maps.crossfit.com/ 4) List of Starbucks stores by country: https://en.wikipedia.org/wiki/Starbucks 5) Then add in this data for corporate tax rates into the mcdonald's database: https://en.wikipedia.org/wiki/List_of_countries_by_tax_rates ... Indicate that it is a country with a mcdonald's franchise--and then 6) All data from Inc entrepreneur list but most importantly all structured data inside the pages themselves https://www.entrepreneur.com/article/247038 7) Structure AFewHundredReason17 into an Excel file and then find the URL of the franchise system (you'll do the research) and add it in https://www.dropbox.com/s/ygalaomwvv82jwx/AFewHundredReason17%20%281%29.pdf?dl=0 8) For this exhibitor, we need to find their website URL and linkedin page ID https://www.dropbox.com/s/lc567pmortkhirw/17CONExhibitorList%20%281%29.xlsx?dl=0
Skills: "Extract, Transform and Load (ETL)" Data Analytics Data mining Project management