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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

  • Full Time, onsite
  • Hirenomics
  • San Francisco Bay Area, United States of America
Salary undisclosed
Checking job availability...
Original
Simplified

We are seeking an experienced and highly skilled Senior Data Engineer to join our dynamic team in San Francisco. In this hybrid role, you will play a pivotal part in designing, building, and optimizing our data infrastructure, ensuring the seamless flow of data from various sources to actionable insights. This is an exciting opportunity for a seasoned engineer with expertise in modern data technologies and platforms such as Azure, Snowflake, Tableau, Power BI, and Fabric.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and architectures using Azure and Snowflake.
  • Implement and manage data integration from diverse sources into Snowflake, ensuring data is clean, reliable, and accessible for analytics.
  • Work with business stakeholders to understand requirements and build data models that support reporting and analysis.
  • Leverage Tableau and Power BI to create meaningful data visualizations and dashboards for business intelligence.
  • Optimize and tune data processing workflows to ensure efficiency and performance.
  • Collaborate with cross-functional teams to define data strategy and implement best practices across the organization.
  • Utilize Microsoft Fabric to integrate and automate data workflows across multiple platforms.
  • Ensure data security, compliance, and best practices in data management.

Required Skills & Qualifications:

  • Proven experience as a Senior Data Engineer or in a similar role with expertise in Azure, Snowflake, Tableau, Power BI, and Microsoft Fabric.
  • Strong programming skills in Python, SQL, and experience with ETL/ELT processes.
  • Experience designing and implementing data pipelines and data warehousing solutions.
  • Familiarity with cloud platforms, especially Azure.
  • Knowledge of data governance, security, and compliance best practices.
  • Ability to work effectively in a hybrid environment with both onsite and remote collaboration.

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Experience with Databricks or other advanced data engineering tools is a plus.
  • Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

We are seeking an experienced and highly skilled Senior Data Engineer to join our dynamic team in San Francisco. In this hybrid role, you will play a pivotal part in designing, building, and optimizing our data infrastructure, ensuring the seamless flow of data from various sources to actionable insights. This is an exciting opportunity for a seasoned engineer with expertise in modern data technologies and platforms such as Azure, Snowflake, Tableau, Power BI, and Fabric.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and architectures using Azure and Snowflake.
  • Implement and manage data integration from diverse sources into Snowflake, ensuring data is clean, reliable, and accessible for analytics.
  • Work with business stakeholders to understand requirements and build data models that support reporting and analysis.
  • Leverage Tableau and Power BI to create meaningful data visualizations and dashboards for business intelligence.
  • Optimize and tune data processing workflows to ensure efficiency and performance.
  • Collaborate with cross-functional teams to define data strategy and implement best practices across the organization.
  • Utilize Microsoft Fabric to integrate and automate data workflows across multiple platforms.
  • Ensure data security, compliance, and best practices in data management.

Required Skills & Qualifications:

  • Proven experience as a Senior Data Engineer or in a similar role with expertise in Azure, Snowflake, Tableau, Power BI, and Microsoft Fabric.
  • Strong programming skills in Python, SQL, and experience with ETL/ELT processes.
  • Experience designing and implementing data pipelines and data warehousing solutions.
  • Familiarity with cloud platforms, especially Azure.
  • Knowledge of data governance, security, and compliance best practices.
  • Ability to work effectively in a hybrid environment with both onsite and remote collaboration.

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Experience with Databricks or other advanced data engineering tools is a plus.
  • Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.