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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...

Data Engineer

Salary undisclosed
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Original
Simplified

Responsibilities:

We are looking for a Data Engineer & Data Analyst hybrid who is skilled in managing data infrastructure, building APIs, optimizing databases, and performing advanced data analytics. The ideal candidate will be proficient in AWS data services, API development, and data pipeline management, while also possessing strong data visualization skills using Tableau, Infogram, and AI-powered chart generation for embedding into web applications. This role requires someone who can handle large-scale data processing, automate workflows, and create insightful dashboards to support business intelligence and decision-making Data Engineering (Backend, AWS, API Management)

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
  • Proficient in AWS cloud services, including: AWS Glue, Redshift, Athena, Lambda, S3, RDS, DynamoDB, Step Functions, IAM, CloudWatch.  Experience with AWS Kinesis, EventBridge, and Apache Kafka for real-time data streaming.
  • Strong experience in API development using FastAPI, Flask, Django, or Express.js.
  • Database Management: Expertise in SQL (PostgreSQL, MySQL, Snowflake, BigQuery) and NoSQL (MongoDB, Firebase).
  • ETL/ELT & Data Pipeline Orchestration: Hands-on experience with Apache Airflow, Prefect, dbt (Data Build Tool), Luigi.
  • Proficiency in data pipeline automation and workflow scheduling. Data Analytics & AI-Powered Visualization
  • Proficiency in Tableau, Infogram, Power BI, Google Data Studio, and Superset.
  • Experience using AI for predictive analytics, anomaly detection, and sentiment analysis.
  • Strong Python skills (Pandas, NumPy, Matplotlib, Seaborn, Plotly, Dash) for exploratory data analysis.
  • Experience with AI tools for auto-generated dashboards and AI-powered insights (ChatGPT API, OpenAI embeddings, NLP models, LlamaIndex, LangChain).
  • Familiarity with machine learning models (Scikit-learn, TensorFlow, PyTorch) for forecasting and

Responsibilities:

We are looking for a Data Engineer & Data Analyst hybrid who is skilled in managing data infrastructure, building APIs, optimizing databases, and performing advanced data analytics. The ideal candidate will be proficient in AWS data services, API development, and data pipeline management, while also possessing strong data visualization skills using Tableau, Infogram, and AI-powered chart generation for embedding into web applications. This role requires someone who can handle large-scale data processing, automate workflows, and create insightful dashboards to support business intelligence and decision-making Data Engineering (Backend, AWS, API Management)

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
  • Proficient in AWS cloud services, including: AWS Glue, Redshift, Athena, Lambda, S3, RDS, DynamoDB, Step Functions, IAM, CloudWatch.  Experience with AWS Kinesis, EventBridge, and Apache Kafka for real-time data streaming.
  • Strong experience in API development using FastAPI, Flask, Django, or Express.js.
  • Database Management: Expertise in SQL (PostgreSQL, MySQL, Snowflake, BigQuery) and NoSQL (MongoDB, Firebase).
  • ETL/ELT & Data Pipeline Orchestration: Hands-on experience with Apache Airflow, Prefect, dbt (Data Build Tool), Luigi.
  • Proficiency in data pipeline automation and workflow scheduling. Data Analytics & AI-Powered Visualization
  • Proficiency in Tableau, Infogram, Power BI, Google Data Studio, and Superset.
  • Experience using AI for predictive analytics, anomaly detection, and sentiment analysis.
  • Strong Python skills (Pandas, NumPy, Matplotlib, Seaborn, Plotly, Dash) for exploratory data analysis.
  • Experience with AI tools for auto-generated dashboards and AI-powered insights (ChatGPT API, OpenAI embeddings, NLP models, LlamaIndex, LangChain).
  • Familiarity with machine learning models (Scikit-learn, TensorFlow, PyTorch) for forecasting and