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Staff/Senior Data Engineer Job Opening In Pushkar – Now Hiring HG Insights


Job description

At HG Insights we provides AI-powered revenue growth intelligence and technology intelligence data to help B2B companies refine their go-to-market (GTM) strategies by analyzing market size, identifying potential customers, and uncovering in-market purchasing signals.

With the recent acquisitions of MadKudu and TrustRadius, we’ve created an agentic GTM ecosystem that eliminates manual handoffs, guesswork, and siloed signals.
We’re searching for a strong Data Engineer to take this ecosystem to the next level.

You’ll play a critical role in tackling high-impact projects, including large-scale data integration, improving and enriching intent signals, and building the foundational capabilities that will power our future AI initiatives.

This is an opportunity to work with complex data pipelines at scale, shape the backbone of our intelligence platform, and directly influence how thousands of enterprise customers uncover growth opportunities.
What You Will Do
Build and maintain ETL pipelines using Apache Airflow in our kubernetes environment, processing 10M+ daily events from MongoDB to PostgreSQL and BigQuery
Design real-time data streaming architectures using Google Cloud Pub/Sub for visitor tracking, intent signals, and company resolution workflows
Develop ML data infrastructure for AI-powered features including vector embeddings, semantic search, and automated content generation using OpenAI and Google Vertex AI
Create analytics and reporting systems on BigQuery for customer intent data, lead scoring models, and business intelligence dashboards
Implement data quality and monitoring frameworks ensuring accuracy across the entire data pipeline from source to customer delivery
Build customer data delivery systems including Snowflake integration and API endpoints for enterprise data consumption
What You Will Be Responsible For
Data pipeline reliability with 99.9% uptime for critical business intelligence feeding customer-facing intent data products
Data accuracy and consistency across MongoDB → PostgreSQL → BigQuery → Snowflake transformation chains
ML infrastructure performance supporting real-time vector search, embedding generation, and AI model inference
Scalable data architecture handling exponential growth in visitor data and intent signals
Customer data SLAs ensuring timely delivery of intent data to enterprise customers with contractual requirements
Building Dashboards and alerting for management of these systems
What You Will Need
9+ years data engineering with Python, SQL, and distributed data processing frameworks
Strong ETL/ELT experience with Apache Airflow, dbt, or similar orchestration tools
Cloud data platform expertise with BigQuery, Cloud Storage, and data warehouse optimization
Real-time streaming experience with Pub/Sub, Kafka, or similar event-driven systems
Database proficiency across PostgreSQL, MongoDB, and modern data warehouse technologies
Nice to Have
ML/AI pipeline experience with vector databases (Pinecone), embedding models, and LLM integration
Intent data and lead scoring domain knowledge in B2B marketing technology
Apache Beam or Dataflow for large-scale data processing
Customer analytics and behavioral data modeling experience

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Staff Senior Potential: Insight & Career Growth Guide


Real-time Staff Senior 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 Staff Senior in Pushkar, India, highlighting market share and opportunities for professionals in Staff Senior roles.

379933 Jobs in India
379933
2496 Jobs in Pushkar
2496
Download Staff Senior Jobs Trends in Pushkar and India

Are You Looking for Staff/Senior Data Engineer 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 HG Insights 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 Staff/Senior Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Pushkar. 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 Staff/Senior Data Engineer?

Key qualifications for Staff/Senior 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 Staff/Senior Data Engineer?

To improve your chances of getting hired for Staff/Senior 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 Staff/Senior Data Engineer Job Success

HG Insights interview tips for Staff/Senior Data Engineer

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

Before the Interview:

Research: Learn about the HG Insights'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 Staff/Senior Data Engineer interview at HG Insights, 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 HG Insights'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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