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.
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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).
Visit Site here
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Jobs or company...

Data Engineer

Salary undisclosed

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We are seeking a skilled Data Engineer to join our team on a six-month contract with the potential for full-time conversion. This role requires a blend of data engineering expertise and a collaborative mindset to design, develop, and maintain scalable data solutions that drive data-driven decisions. If you’re experienced in building and optimizing data pipelines and are passionate about data integration and transformation, we encourage you to apply.

Job Title: Data Engineer (Contract)

Duration: 6-Month Contract with Potential for Full-Time Conversion

Location: Richardson, TX 75082

Key Responsibilities:

  • Development & Maintenance: Analyze, develop, maintain, and enhance data systems of moderate to high complexity; support and troubleshoot production issues.
  • Data Pipeline Development: Design, develop, and manage scalable data pipelines using Snowflake, DBT, Snap Logic, and ETL tools.
  • ETL Processes: Develop and manage ETL/ELT processes to support data warehousing and analytics.
  • Data Integration: Integrate data from various sources, ensuring consistency, accuracy, and reliability.
  • Database Management: Assemble large, complex datasets, optimize query performance, and perform DBA tasks, including system health maintenance and database access management.
  • Code Review & Optimization: Write complex SQL queries and conduct peer code reviews; analyze and optimize long-running processes.
  • Process Improvement: Identify and implement internal process improvements, including automating manual processes and optimizing data delivery.
  • Collaboration: Work closely with Product, Data, Design, Frontend, and Backend teams to support data infrastructure needs.
  • CI/CD & Documentation: Participate in Continuous Integration and Deployment processes; document program development, logic, and modifications.

Qualifications:

  • Education: Bachelor’s degree in Information Systems, Mathematics, Computer Science, or related field.
  • Experience: 6+ years of relevant experience in data engineering, or an equivalent combination of education and experience.
  • Technical Expertise:
  • Strong proficiency in Data Extraction, Transformation, Loading (ETL), data profiling, and SQL tuning.
  • Expertise with Relational & Dimensional Databases (SQL Server, PostgreSQL, Oracle).
  • Proficient in Snowflake for enterprise-scale data warehousing.
  • Skilled in designing reusable and scalable data products with data quality checks.
  • Experience with Data Ingestion tools like Snap Logic, ADF, Matallion, etc.
  • Familiar with data orchestration tools like Apache Airflow, Chronos with Mesos.
  • Knowledge of Python for data manipulation, automation, and integration tasks.
  • Experience in Data Transformation Models in DBT.
  • Familiarity with cloud platforms (AWS / Azure), Agile methodologies, and DevOps.
  • Experience in developing CI/CD pipelines using Jenkins or Azure DevOps.
  • Understanding of data governance frameworks and best practices.
  • Experience with APIs for secure data sharing across internal and external partners.
  • Proficiency in version control using GitHub.
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