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Azure Data Engineer Job Opening In Pune – Now Hiring Persistent Systems


Job description

About Position:
We are seeking a skilled Data Engineer with hands-on experience in Azure Cloud technologies to join our dynamic data team.

This role is ideal for someone passionate about building scalable data pipelines, designing robust data architectures, and enabling data-driven decision-making across the organization.

You will play a key role in shaping our data infrastructure, ensuring high-quality data ingestion, transformation, and modeling to support analytics and business intelligence initiatives.
Role: Azure Data Engineer
Location: All Persistent Locations
Experience: 5+Years
Job Type: Full Time Employment
What You'll Do:
Develop and maintain data pipelines using Azure Data Factory (ADF) for efficient ingestion from diverse sources.
Transform and process large-scale datasets using PySpark within Databricks, ensuring optimized performance and scalability.
Perform advanced data profiling and analysis using SQL to ensure data quality, consistency, and readiness for downstream consumption.
Design and implement data architecture, including data warehousing solutions and Lakehouse Medallion Architecture, to support both operational and analytical workloads.
Apply dimensional modeling techniques to structure data for intuitive and efficient querying by business users and analysts.
Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand data requirements and deliver impactful solutions.
Data Engineering on Azure Cloud- Data Ingestion (ADF), Transformation (Pyspark - Databricks), Data Profiling ?

Advanced SQL
Data Design/Pattern- Data warehousing, Dimensional Modelling and Lakehouse Medallion Architecture
Expertise You'll Bring:
Proven experience in Azure Data Factory (ADF) for orchestrating data workflows and integrations.
Strong proficiency in PySpark and Databricks for scalable data transformation and processing.
Expertise in Advanced SQL for data profiling, cleansing, and complex querying.
Solid understanding of data warehousing concepts, including dimensional modeling and ETL best practices.
Familiarity with Lakehouse architecture, especially the Medallion pattern (Bronze, Silver, Gold layers) for organizing and optimizing data lakes.
Ability to design and implement data solutions that are secure, scalable, and aligned with business goals.
Proven experience in Azure Data Factory (ADF) for orchestrating data workflows and integrations.
Strong proficiency in PySpark and Databricks for scalable data transformation and processing.
Expertise in Advanced SQL for data profiling, cleansing, and complex querying.
Solid understanding of data warehousing concepts, including dimensional modeling and ETL best practices.
Familiarity with Lakehouse architecture, especially the Medallion pattern (Bronze, Silver, Gold layers) for organizing and optimizing data lakes.
Ability to design and implement data solutions that are secure, scalable, and aligned with business goals.
Benefits:
Competitive salary and benefits package
Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
Opportunity to work with cutting-edge technologies
Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
Annual health check-ups
Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent Ltd.

is dedicated to fostering diversity and inclusion in the workplace.

We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference.

We welcome diverse candidates from all backgrounds.
We support hybrid work and flexible hours to fit diverse lifestyles.
Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
Let's unleash your full potential at Persistent
Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.

Required Skill Profession

Computer Occupations


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

169756 Jobs in India
169756
4232 Jobs in Pune
4232
Download Azure Data Jobs Trends in Pune and India

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 Persistent Systems 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 Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Pune. 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 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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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

Persistent Systems 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 Persistent Systems'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 Persistent Systems, 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 Persistent Systems'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!

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