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United Arab Emirates Jobs Expertini

Azure Data Engineer Job Opening In Pacific Remote Islands Marine National Monument – Now Hiring Asian Global Infotech


Job description

We are looking for a highly skilled Senior Azure Data Engineer with extensive experience in building and managing modern data pipelines using the Azure ecosystem.

The ideal candidate will have strong hands-on expertise in Azure Data Factory, Databricks, Synapse Analytics, and Python/PySpark.

Payroll : HTC Global

Location : Remote

Key Responsibilities:

  • Design and implement end-to-end data pipelines on Azure platform.

  • Work with Azure Data Factory, Databricks, Synapse, and other Azure services.

  • Write efficient Python and PySpark code for data transformation.

  • Implement data ingestion from diverse sources including APIs, SFTP, and messaging platforms.

  • Optimize performance of ETL/ELT jobs and manage medallion architecture (bronze/silver/gold layers).

  • Design and implement data models and data warehouse architecture.

  • Collaborate with BI teams to enable data access via Power BI and other tools.

  • Mentor junior team members and promote best practices.

  • Ensure security, reliability, and performance of data infrastructure.

  • Participate in Agile/Scrum ceremonies and contribute to sprint planning and delivery.

Required Skills:

  • 8+ years of total IT experience, with 5+ years in Azure data engineering.

  • Expertise in ADF, Azure Databricks, Synapse, ADLS Gen2.

  • 3+ years of hands-on experience with Python/PySpark.

  • Solid SQL skills and data modeling expertise.

  • Working knowledge of Power BI, APIs, and SFTP.

  • Understanding of Agile delivery methodologies.

  • Experience with CI/CD pipelines and source control (Git/Azure DevOps).

  • Strong analytical and communication skills.

Preferred:

  • DP-200 / DP-201 / DP-203 certification.

  • Experience with Cosmos DB, Event Hub, or other Azure messaging services.

We are looking for a highly skilled Senior Azure Data Engineer with extensive experience in building and managing modern data pipelines using the Azure ecosystem.

The ideal candidate will have strong hands-on expertise in Azure Data Factory, Databricks, Synapse Analytics, and Python/PySpark.Payroll : HTC Global Location : Remote Key Responsibilities:

  • Design and implement end-to-end data pipelines on Azure platform.

Required Skills:

  • 8+ years of total IT experience, with 5+ years in Azure data engineering.

  • Expertise in ADF, Azure Databricks, Synapse, ADLS Gen2.

  • 3+ years of hands-on experience with Python/PySpark.

  • Solid SQL skills and data modeling expertise.

  • Working knowledge of Power BI, APIs, and SFTP.

  • Understanding of Agile delivery methodologies.

  • Experience with CI/CD pipelines and source control (Git/Azure DevOps).

  • Strong analytical and communication skills.

Preferred:

  • DP-200 / DP-201 / DP-203 certification.

  • Experience with Cosmos DB, Event Hub, or other Azure messaging services.

Job Types: Full-time, Permanent

Required Skill Profession

Other General


  • Job Details

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Unlock Your Azure Data Potential: Insight & Career Growth Guide


Real-time Azure Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Azure Data in Pacific Remote Islands Marine National Monument, United Arab Emirates, highlighting market share and opportunities for professionals in Azure Data roles.

3571 Jobs in United Arab Emirates
3571
4 Jobs in Pacific Remote Islands Marine National Monument
4
Download Azure Data Jobs Trends in Pacific Remote Islands Marine National Monument and United Arab Emirates

Are You Looking for Azure Data Engineer Job?

Great news! is currently hiring and seeking a Azure Data Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Asian Global Infotech adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United Arab Emirates laws and regulations

What Is the Average Salary Range for Azure Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Pacific Remote Islands Marine National Monument. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Azure Data Engineer?

Key qualifications for Azure Data Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Azure Data Engineer?

To improve your chances of getting hired for Azure Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Azure Data Engineer Job Success

Asian Global Infotech interview tips for Azure Data Engineer

Here are some tips to help you prepare for and ace your Azure Data Engineer job interview:

Before the Interview:

Research: Learn about the Asian Global Infotech's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Azure Data Engineer interview at Asian Global Infotech, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Asian Global Infotech's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for Azure Data Engineer Positions

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