Devam Ediyor

Build Big Data Backend

Hello,

We are [login to view URL] (presentation website).

Job description:

We are looking for a Big Data Expert who'll help us create the back-end of our Big Analytics platform section.

We would like to integrate many data into our platform and show them into graphs. We’ve developed a front-end which needs to be connected to a back-end who’ll process (data collection, storage and analysis) data. All data can be collected from APIs or are internal data.

Required knowledge:

- Docker

- Kubernetes

- Python/Django

- Analytics Platforms understanding

- JavaScript

- Big Data architecture

- Kafka

- Spark streaming

VPS configuration:

CPU: 6 cores

RAM: 16gb

Disk storage: 400Gb SSD

Port/bandwidth: 400 Mbit/s port - UNLIMITED Traffic

Upstream: 200 Gbit/s

OS: Ubuntu 18.04

Platform architecture (GitHub):

1st repository: PlatformCore Front-end (you’ll get an access to it)

2nd repository: PlatformCore Back-end

3rd repository: PlatformCore Big Analytics (the one you’ll work on)

Data list:

Social Media list

Facebook

Instagram

Twitter

LinkedIn

Tumblr

Pinterest

Snapchat

Scoop it! (later integration)

Social Media Data (through APIs)

Likes

Shares

Conversions

Comments

Fans/Followers

Impressions

Cost Per Lead

Issue Resolved

Customer Lifetime Value

Mentions

Retweets

Forward to a friend

Clicks

Share of Voice

Sales Revenue

Lead Conversion Rate

Non-Revenue Conversions

Support Management (into our back-end)

Conversation Number

Ticket Volume (technical issues)

Ticket Backlog

Replying

Ongoing

Resolving

Unresolved Tickets

Unresolved Conversations

Average Resolution Time

Average Reply Time

Average First Response Time

Customer Satisfaction Score

First Contact Resolution Rate

Net Promoter Score (NPS)

Content Management (through APIs)

WordPress

Google Analytics

Content Management Data

Direct Visitors

Social

Referrals

Most Visited Pages

Pageviews

Exit Rate

ROI

WEB Traffic (GA)

Acquisition

Sessions

% new sessions

New users

Behavior

Bounce rate

Pages / session

Avg. Session Duration

Conversions

Goal Conversion Rate

Goal Completions

Organic Search

Future Integration:

You also have to understand that we’ll integrate other types of data (in the future). Which means that you must think about how we can integrate future types of data to display into the “Big Analytics” section.

Tasks:

Phase I - Collect the Data

Collect the data

from the API and produce it to Kafka. Total

Social Media list is 8 (Twitter, Facebook

etc). In this first phase we're only use 3 as a

sample. The rest will be integrated on the

Development phase III - B.

± 2 weeks €200.00

Phase II - Build Analytics Engine

Build analytics

engine using Spark. This is purpose for

knowing what kind of analytics that we

could build from the given data.

± 3 weeks €600.00

Phase III (A) - Integration with Backend

Integrate the data

with backend. So, it can be transferred

and communicate to front-end.

± 3 weeks €600.00

Phase III (B) - Integration more Data Source

Getting more data source

into the engine and another analytics design

could be build

± 2 weeks €500.00

Total: 10 weeks €1,900.00

Additional information:

NDA and IP agreement signing is mandatory.

Kind regards,

Tommy

Beceriler: Python, Yazılım Mimarisi, Hadoop, Spark

İşveren Hakkında:
( 5 değerlendirme ) Dublin, Ireland

Proje NO: #23381355

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