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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.
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  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).
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Jobs or company...
C

Google Cloud Platform Data Engineer (Python)

  • Full Time, onsite
  • CrackaJack Digital Solutions
  • On Site, United States of America
Salary undisclosed
Checking job availability...
Original
Simplified
Job Title: Data Engineer Google Cloud Platform & Python Development
Location: Houston, TX
Key Responsibilities
  • Design, develop, and maintain reliable and scalable data pipelines on Google Cloud Platform using tools like Dataflow, BigQuery, Pub/Sub, and Cloud Composer.
  • Write efficient and reusable Python scripts and modules for ETL/ELT workflows and data transformations.
  • Collaborate with data scientists, analysts, and other engineers to integrate data from various sources, ensure data quality, and optimize performance.
  • Build and manage data lake and data warehouse solutions leveraging BigQuery and Cloud Storage.
  • Automate data validation and monitoring workflows for data integrity and reliability.
  • Implement CI/CD pipelines for data engineering workflows using tools like Cloud Build, GitHub Actions, or Jenkins.
  • Monitor and optimize job performance, cost efficiency, and error handling across Google Cloud Platform services.
  • Maintain proper documentation of data flows, schemas, and transformation logic.
Requirements
Technical Skills
  • Strong proficiency in Python, with experience in writing scalable, modular, and testable code.
  • Solid experience with Google Cloud Platform especially BigQuery, Cloud Functions, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer (Airflow).
  • Experience with SQL and building optimized queries for large-scale data processing.
  • Hands-on experience with data orchestration tools like Apache Airflow (Composer preferred).
  • Knowledge of data modeling, data warehousing concepts, and data governance best practices.
  • Familiarity with Docker, Terraform, or Kubernetes is a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job
Job Title: Data Engineer Google Cloud Platform & Python Development
Location: Houston, TX
Key Responsibilities
  • Design, develop, and maintain reliable and scalable data pipelines on Google Cloud Platform using tools like Dataflow, BigQuery, Pub/Sub, and Cloud Composer.
  • Write efficient and reusable Python scripts and modules for ETL/ELT workflows and data transformations.
  • Collaborate with data scientists, analysts, and other engineers to integrate data from various sources, ensure data quality, and optimize performance.
  • Build and manage data lake and data warehouse solutions leveraging BigQuery and Cloud Storage.
  • Automate data validation and monitoring workflows for data integrity and reliability.
  • Implement CI/CD pipelines for data engineering workflows using tools like Cloud Build, GitHub Actions, or Jenkins.
  • Monitor and optimize job performance, cost efficiency, and error handling across Google Cloud Platform services.
  • Maintain proper documentation of data flows, schemas, and transformation logic.
Requirements
Technical Skills
  • Strong proficiency in Python, with experience in writing scalable, modular, and testable code.
  • Solid experience with Google Cloud Platform especially BigQuery, Cloud Functions, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer (Airflow).
  • Experience with SQL and building optimized queries for large-scale data processing.
  • Hands-on experience with data orchestration tools like Apache Airflow (Composer preferred).
  • Knowledge of data modeling, data warehousing concepts, and data governance best practices.
  • Familiarity with Docker, Terraform, or Kubernetes is a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job