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 Development Engineer

$ 9,000 - $ 13,000 / month
Checking job availability...
Original
Simplified

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines for structured and unstructured data.
  • Optimize and manage ETL/ELT processes for efficient data integration and transformation.
  • Develop and maintain data warehouses, lakes, and real-time streaming solutions.
  • Ensure data quality, consistency, and governance across platforms.
  • Work with SQL and NoSQL databases to support business analytics.
  • Implement cloud-based data architectures (AWS, Azure, GCP) and automation.
  • Optimize big data processing frameworks (Spark, Hadoop, Flink) for high performance.
  • Collaborate with cross-functional teams to support data-driven decision-making.
  • Ensure security, compliance, and performance tuning of data systems.
  • Troubleshoot and resolve data-related issues in production environments.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • 5+ years of experience in data development, engineering, or analytics.
  • Proficiency in SQL, Python, Java, or Scala for data processing.
  • Experience with ETL tools (Apache NiFi, Airflow, Talend, DBT, etc.).
  • Hands-on experience with big data frameworks (Spark, Hadoop, Flink).
  • Strong knowledge of data modeling and warehousing (Snowflake, Redshift, BigQuery).
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Familiarity with real-time data processing (Kafka, Pulsar, or similar).
  • Ability to troubleshoot, optimize, and scale data systems efficiently.
  • Strong analytical and problem-solving skills.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines for structured and unstructured data.
  • Optimize and manage ETL/ELT processes for efficient data integration and transformation.
  • Develop and maintain data warehouses, lakes, and real-time streaming solutions.
  • Ensure data quality, consistency, and governance across platforms.
  • Work with SQL and NoSQL databases to support business analytics.
  • Implement cloud-based data architectures (AWS, Azure, GCP) and automation.
  • Optimize big data processing frameworks (Spark, Hadoop, Flink) for high performance.
  • Collaborate with cross-functional teams to support data-driven decision-making.
  • Ensure security, compliance, and performance tuning of data systems.
  • Troubleshoot and resolve data-related issues in production environments.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • 5+ years of experience in data development, engineering, or analytics.
  • Proficiency in SQL, Python, Java, or Scala for data processing.
  • Experience with ETL tools (Apache NiFi, Airflow, Talend, DBT, etc.).
  • Hands-on experience with big data frameworks (Spark, Hadoop, Flink).
  • Strong knowledge of data modeling and warehousing (Snowflake, Redshift, BigQuery).
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Familiarity with real-time data processing (Kafka, Pulsar, or similar).
  • Ability to troubleshoot, optimize, and scale data systems efficiently.
  • Strong analytical and problem-solving skills.