Epicareer Might not Working Properly
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Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
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  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
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  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
Visit Site here
  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
Visit Site here
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Jobs or company...

Data Engineer

Salary undisclosed
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Original
Simplified

Data Engineer is needed to perform the following duties:

· Designing/Architecture of enterprise grade data warehouses to inform applications.

· Good Architecture skills and aware of best design practices and software architectures.

· Modeling how data is ingested into the analytics platform, which includes extracting, transforming, and preparing data.

· Analyzing client datasets, comparing them with existing data sets, generating reports, and analyzing behaviors represented in the datasets.

· Providing technical solutions for business problems.

· Performing data upgrade and schema changes in database tables as needed.

· Good working knowledge in ETL Tools.

· Gathering data and business requirements from the customer and design entity relationship models.

· Translating requirements from product managers into technical implementations.

· Creating innovative solutions to respond to data content/data formatting challenges.

· Ensuring that the data is used as a strategic enabler and that the models that are built respond to the needs of the business.

· Actively participating in each level of data engineering lifecycle, namely data identification, data acquisition & filtering, data extraction, data aggregation & representation and utilization of analysis results.

· Utilizing high-level programming languages and shell-scripting.

· Working within UNIX/Linux OS and Big Data environments, including Hadoop, HDFS, and Pig/Hive.

· Improving and maintaining existing architecture/systems.

· Designing and executing Hive and Spark scripts to run and analyze inbound data transformation.

· Running ad-hoc queries for data analysis, build and run scripts on cloud (AWS).

· Constructing visualizations and dashboards to drive key management decisions.

· Creating explainable and auditable models using machine learning to develop understandable CPG consumer behavior audiences that meet GDPR (General Data Protection Regulation) and CCPA (California Consumer Privacy Act) requirements.

· Creating and analyzing tables in Athena on top of large S3 dataset.

· Working on cloud big data platform, EMR, to process vast amounts of data.

· Recommending data integration points, architecture, and workflow design changes.

· Providing data analysis focusing on the business needs of our customers, both internal and external.

· Creating predictive models in SPARK ML to drive business decisions.

· Performing data mapping and extraction from the customer’s databases to the regional data hubs.

· Cleansing, pre-processing & ingesting data split into several layers into the Hadoop data lake using HDFS and Hive.

· Coding Spark scripts to merge stored data sets from disparate sources.

· Creating taxonomy mappings for various external and internal clients.

· Ensuring version control of all Test, UAT and Production ETL code and config files.

Bachelor's Degree is required in Computer Science or Computer Engineering or Information Systems.