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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.
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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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Fullstack Engineer + BigQuery

Salary undisclosed
Checking job availability...
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Full Stack Engineer (BigQuery) - Job Description

About the Role

We are looking for a Full Stack Engineer with expertise in Google BigQuery to design, develop, and maintain scalable data-driven applications. The ideal candidate will have strong experience in both frontend and backend development, working with cloud-based data warehouses, and building efficient data pipelines.

Key Responsibilities

Develop & Maintain Applications: Build and optimize web applications that interact with BigQuery for data retrieval, processing, and visualization.

Database & BigQuery Integration: Design and implement efficient data models, queries, and ETL pipelines using BigQuery.

Backend Development: Create and maintain RESTful or GraphQL APIs using frameworks like Node.js, Python (Flask/Django), or Java.

Frontend Development: Develop responsive and dynamic user interfaces using React, Angular, or Vue.js.

Cloud & DevOps: Deploy and manage applications on cloud platforms (Google Cloud Platform, AWS, or Azure) using Docker, Kubernetes, and CI/CD pipelines.

Security & Performance: Implement best practices for data security, access controls, and application performance optimization.

Collaboration: Work closely with data engineers, analysts, and other stakeholders to deliver scalable solutions.


Required Skills & Experience

Strong Full Stack Development Skills: Experience with frontend (React/Angular/Vue) and backend (Node.js/Python/Java) technologies.

BigQuery Expertise: Proficiency in SQL and optimizing queries for performance in BigQuery.

Cloud Experience: Hands-on experience with Google Cloud Platform (Google Cloud Platform), including BigQuery, Cloud Functions, and Pub/Sub.

Data Engineering: Knowledge of ETL/ELT pipelines, data modeling, and working with structured & semi-structured data.

API Development: Experience with RESTful and GraphQL API development.

DevOps & CI/CD: Familiarity with Docker, Kubernetes, Terraform, and CI/CD pipelines.

Security & Compliance: Understanding of data security, access management, and best practices in cloud environments.

Problem-Solving & Communication: Ability to work in an agile environment and collaborate with cross-functional teams.


Preferred Qualifications

Experience with Google Data Studio, Looker, or other BI tools.

Knowledge of real-time data streaming with Kafka or Pub/Sub.

Prior experience in fintech, e-commerce, or healthcare industries.

Familiarity with serverless computing (Cloud Run, AWS Lambda, etc.).

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

Full Stack Engineer (BigQuery) - Job Description

About the Role

We are looking for a Full Stack Engineer with expertise in Google BigQuery to design, develop, and maintain scalable data-driven applications. The ideal candidate will have strong experience in both frontend and backend development, working with cloud-based data warehouses, and building efficient data pipelines.

Key Responsibilities

Develop & Maintain Applications: Build and optimize web applications that interact with BigQuery for data retrieval, processing, and visualization.

Database & BigQuery Integration: Design and implement efficient data models, queries, and ETL pipelines using BigQuery.

Backend Development: Create and maintain RESTful or GraphQL APIs using frameworks like Node.js, Python (Flask/Django), or Java.

Frontend Development: Develop responsive and dynamic user interfaces using React, Angular, or Vue.js.

Cloud & DevOps: Deploy and manage applications on cloud platforms (Google Cloud Platform, AWS, or Azure) using Docker, Kubernetes, and CI/CD pipelines.

Security & Performance: Implement best practices for data security, access controls, and application performance optimization.

Collaboration: Work closely with data engineers, analysts, and other stakeholders to deliver scalable solutions.


Required Skills & Experience

Strong Full Stack Development Skills: Experience with frontend (React/Angular/Vue) and backend (Node.js/Python/Java) technologies.

BigQuery Expertise: Proficiency in SQL and optimizing queries for performance in BigQuery.

Cloud Experience: Hands-on experience with Google Cloud Platform (Google Cloud Platform), including BigQuery, Cloud Functions, and Pub/Sub.

Data Engineering: Knowledge of ETL/ELT pipelines, data modeling, and working with structured & semi-structured data.

API Development: Experience with RESTful and GraphQL API development.

DevOps & CI/CD: Familiarity with Docker, Kubernetes, Terraform, and CI/CD pipelines.

Security & Compliance: Understanding of data security, access management, and best practices in cloud environments.

Problem-Solving & Communication: Ability to work in an agile environment and collaborate with cross-functional teams.


Preferred Qualifications

Experience with Google Data Studio, Looker, or other BI tools.

Knowledge of real-time data streaming with Kafka or Pub/Sub.

Prior experience in fintech, e-commerce, or healthcare industries.

Familiarity with serverless computing (Cloud Run, AWS Lambda, etc.).

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