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Big Data Analytics + DevOps Engineer Job Opening In Pune – Now Hiring Radical Technologies


Job description

Apply before 30-09-2025

Position:  Big Data Analytics + DevOps Engineer
Experience Required: 2–3 years (Freshers with strong knowledge are welcome)

Location: Punawale, Pune

Employment Type: Full-Time, Permanent

Compensation:

Freshers: Stipend of ₹8,000 – 10,000 per month during the training/probation period

Experienced (2–3 years): ₹2 – 5 LPA (based on skills and experience)

Job Description:

We are seeking a skilled Big Data Analytics + DevOps Engineer professional with expertise

in Kafka, Hadoop, Spark, Java, Data Analytics, and DevOps.

The candidate will be

responsible for designing, developing, and managing large-scale data processing systems and

ensuring smooth deployment and scalability of data applications.

Key Responsibilities:

1.

Develop and maintain big data pipelines using Hadoop and Spark.

2.

Handle real-time data streaming using Kafka.

3.

Implement data analytics solutions to extract insights from large datasets.

4.

Collaborate with DevOps teams for CI/CD, automation, and deployment of data

applications.

5.

Write efficient, maintainable code in Java and integrate with big data frameworks.

6.

Monitor, troubleshoot, and optimize performance of data processing pipelines.

Mandatory Skills:

1.

Big Data Technologies: Hadoop, Spark

2.

Streaming Platforms: Kafka

3.

Programming: Java

4.

Data Analytics: Strong understanding of analytics concepts and processing large

datasets

5.

DevOps Practices: CI/CD, automation, monitoring, deployment pipelines

Qualifications:

1.

Proven experience in Kafka, Hadoop, Spark, Java, DevOps, and data analytics

2.

Strong problem-solving and analytical skills

3.

Ability to work collaboratively in a fast-paced environment

.aol-progress{background-color:#ddd}.aol-progress-count{background-color:#222}.aol-progress-counter{color:#888}*Full NamePhoneEmailCurrent Employment Status?Year Of PassoutTotal year Of ExperienceRelevant Year Of ExperienceCurrent Annual salaryPrimary SkillSecondary SkillEducationResume UploadMessage

Fields with (*) are compulsory.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Big Data Potential: Insight & Career Growth Guide


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

138333 Jobs in India
138333
3698 Jobs in Pune
3698
Download Big Data Jobs Trends in Pune and India

Are You Looking for Big Data Analytics + DevOps Engineer Job?

Great news! is currently hiring and seeking a Big Data Analytics + DevOps 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 Radical Technologies 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 Big Data Analytics + DevOps 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.

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Key qualifications for Big Data Analytics + DevOps 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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Interview Tips for Big Data Analytics + DevOps Engineer Job Success

Radical Technologies interview tips for Big Data Analytics + DevOps Engineer

Here are some tips to help you prepare for and ace your Big Data Analytics + DevOps Engineer job interview:

Before the Interview:

Research: Learn about the Radical Technologies'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.

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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.

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:

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Big Data Analytics + DevOps Engineer interview at Radical Technologies, 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 Radical Technologies'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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