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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Data Engineer-ETL

Salary undisclosed
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Data Engineer - ETL Location: Department: Manufacturing IT Business Intelligence (BI) Domain Experience Level & Education • Minimum 5 years of IT working experience, specifically in Data Engineering and ETL-related work. • Undergraduate or master’s degree in computer science, Information Technology, Engineering, or a related field. Main Purpose & Job Scope • Support Assy & Test manufacturing data analytics operations and projects. • Deliver ETL (Extract-Transform-Load) solutions using data from manufacturing, enterprise, and other source systems/applications in Hadoop and cloud environments. Key Responsibilities • Design, develop, and deploy ETL solutions across BI and Big Data Analytics related projects. • Build and maintain automation data feeds from various source applications to target systems. • Perform data integration tasks including administration, optimization, and performance evaluation. • Support production portfolios and resolve issues through troubleshooting. • Participate in the full software development lifecycle: requirement gathering, design, development, testing, deployment, and documentation. • Lead and manage User Acceptance Testing (UAT). • Collaborate with DBAs, infrastructure, and BI teams to drive improvements in data governance and methodologies. • Demonstrate analytical thinking, scripting skills, and a passion for data-driven decision-making. • Stay updated with new technologies and trends in data analytics. • Training will be provided as needed. Required Qualifications • Strong experience in Business Intelligence or Data Analytics projects. • Data integration, ETL, mining & analytics experience is a MUST. Skilled in manipulating and analyzing complex, high-volume, high-dimensionality datasets from multiple sources. • Expertise in SQL and experience with databases such as MSSQL, Teradata, or Oracle. • Development experience or good understanding of Hadoop ecosystem tools like Apache Nifi, Hive, Spark, Airflow, Kafka etc. is an added advantage. • Experience in cloud-based ETL solutions (AWS/GCP/Azure) is highly preferred. Equivalent certification in cloud computing is a plus, though not necessary. • Experience with AWS services S3, Lambda, Glue, DynamoDB (NoSQL), Athena (data querying/ analysis) etc. and AWS Cloud Development Kit (for IaaC) is advantageous. • Other preferred skills: Python, PySpark, Java, JavaScript, TypeScript, Groovy, Shell scripting. • Databricks experience, especially with delta lake and unity catalog framework is valuable but not essential. • Experience with version control systems (e.g., Git, GitHub, AWS CodeCommit), CI/CD tools (e.g. Azure DevOps, AWS CodePipeline, GitHub actions) is an added advantage. • Familiarity with Business Intelligence tools like Tableau, Power BI, Power Query is beneficial. • Strong communication skills, both written and verbal, to collaborate across global teams is highly desired. • Background in quantitative analysis statistics, math, and data modeling is a plus. • Prior experience in a manufacturing domain is advantageous. • Familiarity with Agile methodologies and project management practices is beneficial. • Should be comfortable working in cross-functional virtual teams.