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...

Lead/Sr Azure Data Engineer || W2 Only

Salary undisclosed

Apply on

Dice

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

Original
Simplified

Job Title: Lead/Sr Azure Data Engineer

Location: Must be Hybrid in Minneapolis, MN from Day 1

Duration: 6 Months CTH

Employment Type: W2 or Self-corp only

Job Description:

Must Haves:

12+ years in Data Engineering, focused in Azure

5+ years in Sr/Lead capacity

Expert in Python, Apache Spark, Azure Synapse, and Azure Data Engineering services

Key Responsibilities

  1. ETL and Data Pipeline Development

- Design, develop, and optimize scalable ETL processes using Python, Apache Spark, and Azure Synapse.

- Build and manage Azure Data Factory pipelines to orchestrate complex data workflows.

- Use SQL Pools and Spark Pools within Synapse to manage and process large datasets efficiently.

- Implement Data Warehousing solutions using Azure Synapse Analytics to provide structured and queryable data layers.

- Ensure the data platform supports real-time and batch AI/ML data requirements.

  1. Azure Cloud Development & CI/CD Deployment

- Build, configure, and manage CI/CD pipelines on Azure DevOps for ETL and data processing tasks.

- Automate infrastructure provisioning, testing, and deployment using Infrastructure-as-Code (IaC) tools like ARM templates or Terraform.

- Optimize Azure Data Lake Storage (ADLS Gen2) to store and manage raw and processed data efficiently, ensuring proper access control and data security.

  1. Cross-Functional Collaboration

- Collaborate with Data Scientists, Data Engineers, ML Engineers, and Business Analysts to translate business requirements into data solutions.

- Work with the DevOps and Security teams to ensure smooth and secure deployment of applications and pipelines.

- Act as the technical lead in designing, developing, and implementing data solutions, mentoring junior team members.

  1. Data Engineering and API Development

- Develop and integrate with external and internal APIs for data ingestion and data exchange.

- Build, test, and deploy RESTful APIs for secure data access.

- Use Kubernetes for containerizing and deploying data processing applications.

- Manage data storage and transformation to support advanced Data Science and AI/ML models.

  1. Agile Project Management

- Participate in and lead Agile ceremonies, such as sprint planning, daily stand-ups, and retrospectives.

- Collaborate with cross-functional teams in iterative development to ensure high-quality and timely feature delivery.

- Adapt to changing project priorities and business needs in an Agile environment.

Required Skills and Qualifications

  1. Technical Skills:

- Expertise in Python and Apache Spark for large-scale data processing.

- Strong experience in Azure Synapse Analytics, including SQL Pools and Spark Pools.

- Advanced proficiency in Azure Data Factory for ETL pipeline orchestration and management.

- Knowledge of Data Warehousing principles, with hands-on experience building solutions on Azure.

- Experience with SQL, including complex queries, optimization, and performance tuning.

- Familiarity with CI/CD tools like Azure DevOps and managing infrastructure in Azure Cloud.

- Experience in Java for API integration and microservices architecture.

- Hands-on knowledge of Kubernetes for containerized data processing environments.

- Proficiency in working with Azure Data Lake Storage (ADLS) Gen2 for data storage and management.

- Experience working with APIs (REST, SOAP) and building API-based data integrations.

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