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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).
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Jobs or company...

Azure Data Engineer (Databricks)

$ 7,500 - $ 10,000 / month
Checking job availability...
Original
Simplified

The impact you will have:

  • Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to’s and productionalizing customer use cases
  • Work with engagement managers to scope variety of professional services work with input from the customer
  • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Consult on architecture and design, bootstrap or implement customer projects which leads to a customers’ successful understanding, evaluation and adoption of Databricks.
  • Support customer operational issues with an escalated level of support.
  • Ensure that the technical components of the engagement are delivered to meet customer’s needs by working with the Project Manager, Architect, and Customer teams.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
  • Mentor and provide guidance to junior data engineers and team members.

What would help make your case:

  • 5+ years’ experience in data engineering, data architecture, data platforms & analytics
  • At least 3+ years experience with Azure Databricks, Informatica, PySpark, Python, and SQL.
  • Consulting / customer facing experience, working with external clients across a variety of industry markets
  • Comfortable writing code in both Python and SQL
  • Proficiency in SQL and experience with data warehousing solutions
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
  • Strong understanding of data modelling, ETL processes, and data architecture principles.
  • Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments – GitHub, Azure DevOps, Azure Pipelines
  • Working knowledge of MLOps methodologies
  • Design and deployment of performant end-to-end data architectures
  • Experience with technical project delivery – managing scope and timeline
  • Experience working with clients and managing conflicts
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
  • Good to have Databricks Certifications
  • Strong communication and collaboration skills
  • Ability to travel up to 30% when needed

The impact you will have:

  • Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to’s and productionalizing customer use cases
  • Work with engagement managers to scope variety of professional services work with input from the customer
  • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Consult on architecture and design, bootstrap or implement customer projects which leads to a customers’ successful understanding, evaluation and adoption of Databricks.
  • Support customer operational issues with an escalated level of support.
  • Ensure that the technical components of the engagement are delivered to meet customer’s needs by working with the Project Manager, Architect, and Customer teams.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
  • Mentor and provide guidance to junior data engineers and team members.

What would help make your case:

  • 5+ years’ experience in data engineering, data architecture, data platforms & analytics
  • At least 3+ years experience with Azure Databricks, Informatica, PySpark, Python, and SQL.
  • Consulting / customer facing experience, working with external clients across a variety of industry markets
  • Comfortable writing code in both Python and SQL
  • Proficiency in SQL and experience with data warehousing solutions
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
  • Strong understanding of data modelling, ETL processes, and data architecture principles.
  • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments – GitHub, Azure DevOps, Azure Pipelines
  • Working knowledge of MLOps methodologies
  • Design and deployment of performant end-to-end data architectures
  • Experience with technical project delivery – managing scope and timeline
  • Experience working with clients and managing conflicts
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
  • Good to have Databricks Certifications
  • Strong communication and collaboration skills
  • Ability to travel up to 30% when needed