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Big Data Developer - Spark/Hadoop Job Opening In Bengaluru – Now Hiring Hashone Careers


Job description

<p><p><b>Description : </b><br/><br/>Experience - 5 - 8 yrs<br/><br/>Mode of Working - Hybrid (3 days WFO, 2 days WFH)<br/><br/>Location - Bangalore / Pune / Hyderabad.<br/><br/><b>Big Data Developer : </b><br/><br/>Focus : Building applications and solutions<br/><br/>- Writes code and develops software applications that process big data<br/><br/>- Creates data-driven applications and analytical tools<br/><br/>- Focuses on implementing business logic and algorithms<br/><br/>- Build backend services and APIs to facilitate secure and efficient data exchange.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Develop data processing applications using Spark, Hadoop<br/><br/>- Write MapReduce jobs and data transformation logic<br/><br/>- Implement machine learning models and analytics solutions<br/><br/>- Code optimisation and debugging<br/><br/>- Hands on experience into Databricks<br/><br/>- Hands on experience on Airflow<br/><br/>- Hands-on experience on any Ci/cd tools ( jenkins preferred)<br/><br/><b>Primary Skills : </b><br/><br/>- Programming languages (Scala, Python programming )<br/><br/>- Spark,<br/><br/>- Data structures and algorithms<br/><br/>- Application development<br/><br/>- Software development best practices<br/><br/><b>Skills : </b><br/><br/>- SPARK, SCALA, JENKINS, CI/CD, Databricks, AIRFLOW</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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

138289 Jobs in India
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Are You Looking for Big Data Developer Spark/Hadoop Job?

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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 Hashone Careers 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 Developer Spark/Hadoop 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 Big Data Developer Spark/Hadoop?

Key qualifications for Big Data Developer Spark/Hadoop 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 Developer Spark/Hadoop Job Success

Hashone Careers interview tips for Big Data Developer   Spark/Hadoop

Here are some tips to help you prepare for and ace your Big Data Developer Spark/Hadoop job interview:

Before the Interview:

Research: Learn about the Hashone Careers'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.

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Final Thought:

To prepare for your Big Data Developer Spark/Hadoop interview at Hashone Careers, 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 Hashone Careers'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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