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Big Data Engineer Job Opening In Pune – Now Hiring WorkiFicient


Job description

<p><p><b>To be successful in this role, you should possess : </b></p><p><br/></p><p>- Collaborate closely with Product Management and Engineering leadership to devise and build the right solution.<br/><br/>- Participate in Design discussions and brainstorming sessions to select, integrate, and maintain Big Data tools<br/>and frameworks required to solve Big Data problems at scale.<br/><br/>- Design and implement systems to cleanse, process, and analyze large data sets using distributed processing tools<br/>like Akka and Spark.<br/><br/>- Understanding and critically reviewing existing data pipelines, and coming up with ideas in collaboration with Technical Leaders and Architects to improve upon current bottlenecks<br/><br/>- Take initiatives, and show the drive to pick up new stuff proactively, and work as a Senior Individual contributor on the multiple products and features we have.<br/><br/>- 3+ years of experience in developing highly scalable Big Data pipelines.<br/><br/>- In-depth understanding of the Big Data ecosystem including processing frameworks like Spark, Akka, Storm,and Hadoop, and the file types they deal with.<br/><br/>- Experience with ETL and Data pipeline tools like Apache NiFi, Airflow etc.<br/><br/>- Excellent coding skills in Java or Scala, including the understanding to apply appropriate Design Patterns when required.<br/><br/>- Experience with Git and build tools like Gradle/Maven/SBT.<br/><br/>- Strong understanding of object-oriented design, data structures, algorithms, profiling, and optimization.<br/><br/>- Have elegant, readable, maintainable and extensible code style.<br/><br/><b>You are someone who would easily be able to :</b><br/><br/>- Work closely with the US and India engineering teams to help build the Java/Scala based data pipelines<br/><br/>- Lead the India engineering team in technical excellence and ownership of critical modules; own the development of new modules and features<br/><br/>- Troubleshoot live production server issues.<br/><br/>- Handle client coordination and be able to work as a part of a team, be able to contribute independently and drive the team to exceptional contributions with minimal team supervision<br/><br/>- Follow Agile methodology, JIRA for work planning, issue management/tracking</p><br/></p> (ref:hirist.tech)

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.

153672 Jobs in India
153672
4360 Jobs in Pune
4360
Download Big Data Jobs Trends in Pune and India

Are You Looking for Big Data Engineer Job?

Great news! is currently hiring and seeking a Big 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 WorkiFicient 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 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 Big Data Engineer?

Key qualifications for Big 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 Big Data Engineer?

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

WorkiFicient interview tips for Big Data Engineer

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

Before the Interview:

Research: Learn about the WorkiFicient'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 Big Data Engineer interview at WorkiFicient, 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 WorkiFicient'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!

How to Set Up Job Alerts for Big Data Engineer Positions

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