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Lead Data Pipeline Engineer Job Opening In Bengaluru – Now Hiring DataWeave


Job description

About DataWeave:

DataWeave provides Digital Shelf Analytics and Dynamic Pricing solutions to help digital commerce businesses make smarter, data-driven decisions.

We turn billions of publicly available data points into actionable intelligence.

Role & Responsibilities:

  • Build and maintain scalable data pipelines and APIs powering dashboards and integrations.
  • Develop web crawlers to collect structured and unstructured data at scale.
  • Ensure data quality, completeness, and system performance.
  • Collaborate with cross-functional teams in a fast-paced start-up environment.

Skills & Qualifications:

  • 5–7 years of experience in Data Engineering or related fields.
  • Strong Python programming and scripting skills.
  • Experience with RDBMS, big data pipelines, and data management.
  • Knowledge of Elasticsearch, Cassandra, Solr, or web crawling is a plus.
  • Good communication and problem-solving skills.

Why Join Us:

  • Work on challenging data problems with large-scale datasets.
  • Mentorship, learning opportunities, and fast career growth.
  • Flexible hours, flat hierarchy, and a collaborative culture.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Lead Data Potential: Insight & Career Growth Guide


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Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Lead Data in Bengaluru, India, highlighting market share and opportunities for professionals in Lead Data roles.

318074 Jobs in India
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Are You Looking for Lead Data Pipeline Engineer Job?

Great news! is currently hiring and seeking a Lead Data Pipeline 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 DataWeave 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 Lead Data Pipeline Engineer 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 Lead Data Pipeline Engineer?

Key qualifications for Lead Data Pipeline 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 Lead Data Pipeline Engineer?

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

DataWeave interview tips for Lead Data Pipeline Engineer

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

Before the Interview:

Research: Learn about the DataWeave'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 Lead Data Pipeline Engineer interview at DataWeave, 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 DataWeave'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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