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.
Visit Site here
  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.
Visit Site here
  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...

Senior Data Engineer

Salary undisclosed
Checking job availability...
Original
Simplified

Key Responsibilities:

  • Design, develop, document, and implement data pipelines and integration processes, including ETL/ELT jobs and workflows.
  • Perform data analysis, profiling, cleansing, lineage, mapping, and transformation to meet business requirements.
  • Monitor and optimize ETL/ELT processes for enhanced data quality, efficiency, and reliability.
  • Recommend and implement best practices for data management, coding standards, error handling, auditing, and data archiving.
  • Prepare test data and assist in creating and executing test plans, cases, and scripts.
  • Collaborate with Data Architects, Data Modelers, IT teams, SMEs, and stakeholders to gather requirements and deliver data solutions aligned with business goals.
  • Provide BAU support for data issues and change requests, documenting investigations and resolutions.

Skills & Experience:

  • Bachelor in IT, Computer Science, or Engineering
  • 3–5 years of hands-on experience with Big Data technologies, including Azure and AWS Big Data Solutions, Hadoop, Hive, HBase, Spark, Sqoop, Kafka, and Spark Streaming
  • Proven experience in data pipeline development, ETL/ELT processes, and data transformation.
  • Strong knowledge of data analysis, profiling, cleansing, and mapping techniques.
  • Expertise in optimizing data workflows and implementing best practices for data lifecycle management.
  • Ability to prepare and execute test plans and scripts with attention to detail.
  • Strong collaboration and communication skills to work effectively with cross-functional teams.

Key Responsibilities:

  • Design, develop, document, and implement data pipelines and integration processes, including ETL/ELT jobs and workflows.
  • Perform data analysis, profiling, cleansing, lineage, mapping, and transformation to meet business requirements.
  • Monitor and optimize ETL/ELT processes for enhanced data quality, efficiency, and reliability.
  • Recommend and implement best practices for data management, coding standards, error handling, auditing, and data archiving.
  • Prepare test data and assist in creating and executing test plans, cases, and scripts.
  • Collaborate with Data Architects, Data Modelers, IT teams, SMEs, and stakeholders to gather requirements and deliver data solutions aligned with business goals.
  • Provide BAU support for data issues and change requests, documenting investigations and resolutions.

Skills & Experience:

  • Bachelor in IT, Computer Science, or Engineering
  • 3–5 years of hands-on experience with Big Data technologies, including Azure and AWS Big Data Solutions, Hadoop, Hive, HBase, Spark, Sqoop, Kafka, and Spark Streaming
  • Proven experience in data pipeline development, ETL/ELT processes, and data transformation.
  • Strong knowledge of data analysis, profiling, cleansing, and mapping techniques.
  • Expertise in optimizing data workflows and implementing best practices for data lifecycle management.
  • Ability to prepare and execute test plans and scripts with attention to detail.
  • Strong collaboration and communication skills to work effectively with cross-functional teams.