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Azure Data Engineer - Synapse Analytics Job Opening In Bengaluru – Now Hiring Contactx


Job description

<p><p><b>Mandatory Skills :</b></p><p><br/></p><p>- Bachelors or higher degree in Computer Science or a related discipline; or equivalent (minimum 7 years work experience).

<br/><br/>- At least 4+ years of consulting or client service delivery experience on Azure<br/><br/>- At least 4+ years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases such as SQL server and data warehouse solutions such as Azure Synapse<br/><br/>- Extensive experience providing practical direction with using Azure Native services.<br/><br/>- Extensive hands-on experience implementing data ingestion, ETL and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Azure Logic App Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Databricks, Cosmo DB etc.<br/><br/>- Minimum of 4+ years of hands-on experience in Azure and Big Data technologies such as Java, Python, SQL, ADLS/Blob, PySpark and SparkSQL, Databricks, HD Insight and live streaming technologies such as EventHub, Azure Stream Analytics etc.<br/><br/>- Well versed in DevSecOps and CI/CD deployments<br/><br/>- Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, etc.<br/><br/>- Minimum of 4+ years of RDBMS experience<br/><br/>- Experience in using Big Data File Formats and compression techniques.<br/><br/>- Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server, Git, Jenkins, etc.<br/><br/>- Experience with private and public cloud architectures, pros/cons, and migration considerations.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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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 Bengaluru, India, highlighting market share and opportunities for professionals in Azure Data roles.

169760 Jobs in India
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Are You Looking for Azure Data Engineer Synapse Analytics Job?

Great news! is currently hiring and seeking a Azure Data Engineer Synapse Analytics 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 Contactx 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 India laws and regulations

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

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. 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 Synapse Analytics?

Key qualifications for Azure Data Engineer Synapse Analytics typically include Computer Occupations 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.

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Interview Tips for Azure Data Engineer Synapse Analytics Job Success

Contactx interview tips for Azure Data Engineer   Synapse Analytics

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Before the Interview:

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

Other Openings

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

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

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Final Thought:

To prepare for your Azure Data Engineer Synapse Analytics interview at Contactx, research the company, understand the job requirements, and practice common interview questions.

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

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