Epicareer Might not Working Properly
Learn More
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
Any Question? Contact us
logo
Jobs or company...
A

Sr Data Engineer- Data Bricks/Azure Data Engineer

Salary undisclosed

Apply on

Dice
Original
Simplified
Job Title : Sr Data Engineer- Data Bricks/Azure Data Engineer
Client : Hudson
Location : Remote.
Position : Senior Data Engineer Databricks Expert
We are seeking a Senior Data Engineer with in-depth knowledge of Databricks and Unity Catalog to serve as the subject matter expert for all things Databricks within our organization. This role requires deep expertise in Databricks, including CI/CD setup for data bricks, data lineage through Unity Catalog, and strong proficiency in ETL, SQL, and modern data engineering practices. You will be the go-to person for designing, implementing, and optimizing data solutions with Databricks.
Key Responsibilities:
Serve as the point of contact and subject matter expert for all Databricks-related activities, including architecture, development, and operational best practices.
Design, develop, and manage ETL/ELT pipelines in Databricks using Python (PySpark), integrating various data sources to support business operations.
Leverage Unity Catalog to ensure data lineage, security, and governance are properly managed across the Databricks environment.
Implement and maintain CI/CD pipelines for Databricks, ensuring smooth deployments, version control, and automation using Git and other DevOps tools.
Build scalable data architectures, including Data Lakes, Lakehouses, and Data Warehouses, ensuring efficient data management and accessibility.
Configure and optimize Databricks clusters, jobs, and workflows for both batch and streaming data processing to handle large-scale datasets.
Stay up-to-date with the latest Databricks features and advancements, continuously enhancing our data engineering practices.
Collaborate with cross-functional teams to implement data governance and ensure compliance with security and industry regulations.
Monitor and tune Databricks workloads to ensure high performance and scalability, adapting to business needs as required.
Provide guidance and mentorship to junior engineers, ensuring adherence to best practices and fostering a collaborative environment.
Maintain technical documentation and provide training to internal stakeholders on Databricks tools and processes.
Qualifications:
5+ years of experience in data engineering with significant expertise in Databricks and Apache Spark.
Proficient in Unity Catalog for managing data lineage, security, and governance within the Databricks ecosystem.
Experience building and optimizing ETL pipelines using tools like Azure Data Factory, Informatica, or similar.
Strong understanding of CI/CD practices with experience in Git for version control and integration with Databricks.
Expertise in SQL development and performance tuning for large-scale datasets.
Knowledge of the Azure ecosystem, including data services like Azure Data Lake and Azure Storage.
Ability to work with both batch and streaming data processing pipelines.
Experience with data modeling and dimensional design (e.g., star schema).
Good understanding of data governance, compliance, and security best practices.
Excellent communication and problem-solving skills, with the ability to manage multiple priorities.
Ability to stay current on Databricks innovations and proactively introduce new features and capabilities to the team.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job
Similar Jobs