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GraphQL Data Engineer Job Opening In Pune – Now Hiring VirtUSA


Job description

GraphQL Data Engineer - CREQ193890 Description Role Sr. Knowledge graph & Data engineer.

Experienced professional with a strong focus on Labelled Property Graph (LPG) and proficiency in data engineering.

If you have a solid background in computer science, data analytics, and LPG technologies such as Neo4j and LPG Query languages such as Cypher/Open Cypher
Proven experience as a Knowledge Engineer, Data Engineer, or a similar role, with a strong focus on LPG and data engineering.
Proficient in data engineering tools and technologies, such as Python, SQL, Spark, Hadoop, and ETL / ELT frameworks.
Deep understanding of LPG concepts and technologies.
Designing, developing, and deploying customised and scalable knowledge graph solutions or products.
Deep knowledge in Graph Query Languages (Cypher/Open Cypher, Gremlin).
Data/Software Engineering proficiency with Object-Oriented Programming Languages (, Java, Python, C++) and/or Dynamic Programming Languages (, Python, Perl).
Working knowledge of a range of database technologies including RDBMS, NoSQL.
Experience with data analytics techniques.
Object Graph Mapping libraries and/or Aspect Oriented Programming.
Data engineering using modern data platforms to build, deploy, and maintain data applications.
Application deployment technologies (containerised workflows, Kubernetes) and cloud provisioning tools (CloudFormation, Terraform).

Familiarity with AWS would be advantageous.
Web-services development and consumption (, RESTFul, GraphQL).
Graph visualization technologies and tools (, Neo4j Bloom, SigmaJS, Gephi).
Full text search and indexing (, Solr/Lucene, Elastic Search).
Experience with Django, Docusaurus, and React would be advantageous.
Experience with machine learning and AI algorithms.
Familiarity with cloud computing platforms, such as AWS, Azure, or Google Cloud Platform.
Experience with big data technologies, such as Hadoop, Spark, or Flink.
Experience working in an Agile development environment.
Primary Location Pune, Maharashtra, India Other Locations

Chennai, Tamil Nadu, India

Job Type Experienced Primary Skills BigQuery, ETL Tools Years of Experience 10 Travel No

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your GraphQL Data Potential: Insight & Career Growth Guide


Real-time GraphQL 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 GraphQL Data in Pune, India, highlighting market share and opportunities for professionals in GraphQL Data roles.

147762 Jobs in India
147762
3656 Jobs in Pune
3656
Download Graphql Data Jobs Trends in Pune and India

Are You Looking for GraphQL Data Engineer Job?

Great news! is currently hiring and seeking a GraphQL 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 Virtusa 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 GraphQL 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 GraphQL Data Engineer?

Key qualifications for GraphQL 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.

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

To improve your chances of getting hired for GraphQL 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 GraphQL Data Engineer Job Success

Virtusa interview tips for GraphQL Data Engineer

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

Before the Interview:

Research: Learn about the Virtusa'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 GraphQL Data Engineer interview at Virtusa, 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 Virtusa'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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