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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 | Python | SQL

$ 7,000 - $ 7,000 / month
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Job DescriptionWorking Hours: Monday - Friday (10am - 7pm)Working Location: CentralSalary Package: Up to $7,000 (with VB and AWS)We are looking for a skilled Data Engineer to join our team of analytics experts. This role will involve developing and maintaining robust data architectures, implementing data processing systems, and ensuring the reliability and efficiency of our data assets.Key Responsibilities:
  • Build, test, and maintain data architectures, including databases, data warehouses, and large-scale data processing systems.
  • Create data pipelines and systems for data modelling, mining, and production to meet the needs of data analytics teams, stakeholders, and business requirements.
  • Ensure that the data architecture supports both routine and ad-hoc data analytics needs across various teams.
  • Use a range of programming languages and data processing tools to clean and prepare raw data, making it available for descriptive and predictive modelling.
  • Recommend and implement improvements to enhance data quality, reliability, flexibility, and efficiency.
  • Organize and store data assets and catalogues efficiently to ensure easy access and retrieval of information.
  • Perform SQL and PL/SQL tuning and optimize both new and existing applications for better performance.
Requirements:
  • Minimum 3 years' working experience in data architecture, data warehousing, data processing, data modelling and ETL/ELT, familiarity with real-time streaming solutions.
  • Experience in Kubernetes-based DevOps practices, with experience in container orchestration, CI/CD pipelines, and microservices deployment.
  • Working experience in database development (Oracle SQL/PLSQL)
  • Working experience in AWS cloud environment, familiar with solutions such as EC2, S3, EMR, Redshift, Athena, Kinesis
  • Programming knowledge in Python, R, SQL for data cleaning, processing and aggregation
  • Proficiency in one or more of the following: Java, Hadoop, HDFS, Apache Airflow, Apache Spark, Scala, Hive, Pig
  • Basic knowledge of Oracle database architecture
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec's Privacy Policy (scientecconsulting.com/privacy-policy).This authorizes us to:
  • Contact you about potential opportunities.
  • Delete personal data not required at this application stage.
  • To withdraw consent, email [email protected].
  • All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Wong Siew Ting (Maeve) - R25127375ScienTec Consulting Pte Ltd - 11C5781
Job DescriptionWorking Hours: Monday - Friday (10am - 7pm)Working Location: CentralSalary Package: Up to $7,000 (with VB and AWS)We are looking for a skilled Data Engineer to join our team of analytics experts. This role will involve developing and maintaining robust data architectures, implementing data processing systems, and ensuring the reliability and efficiency of our data assets.Key Responsibilities:
  • Build, test, and maintain data architectures, including databases, data warehouses, and large-scale data processing systems.
  • Create data pipelines and systems for data modelling, mining, and production to meet the needs of data analytics teams, stakeholders, and business requirements.
  • Ensure that the data architecture supports both routine and ad-hoc data analytics needs across various teams.
  • Use a range of programming languages and data processing tools to clean and prepare raw data, making it available for descriptive and predictive modelling.
  • Recommend and implement improvements to enhance data quality, reliability, flexibility, and efficiency.
  • Organize and store data assets and catalogues efficiently to ensure easy access and retrieval of information.
  • Perform SQL and PL/SQL tuning and optimize both new and existing applications for better performance.
Requirements:
  • Minimum 3 years' working experience in data architecture, data warehousing, data processing, data modelling and ETL/ELT, familiarity with real-time streaming solutions.
  • Experience in Kubernetes-based DevOps practices, with experience in container orchestration, CI/CD pipelines, and microservices deployment.
  • Working experience in database development (Oracle SQL/PLSQL)
  • Working experience in AWS cloud environment, familiar with solutions such as EC2, S3, EMR, Redshift, Athena, Kinesis
  • Programming knowledge in Python, R, SQL for data cleaning, processing and aggregation
  • Proficiency in one or more of the following: Java, Hadoop, HDFS, Apache Airflow, Apache Spark, Scala, Hive, Pig
  • Basic knowledge of Oracle database architecture
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec's Privacy Policy (scientecconsulting.com/privacy-policy).This authorizes us to:
  • Contact you about potential opportunities.
  • Delete personal data not required at this application stage.
  • To withdraw consent, email [email protected].
  • All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Wong Siew Ting (Maeve) - R25127375ScienTec Consulting Pte Ltd - 11C5781