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Lead Data Engineer Job Opening In Gurugram – Now Hiring Confidential


Job description

Talworx is an emerging recruitment consulting and services firm , we are hiring for our Fintech Product based client, In this role, you will be working with a team or teams of enthusiastic members supporting our critical technology systems and guiding our business partners & end users with industry best practices, solution design, and creating long term value to our customers.

engaging work environment.

You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative.

Requirements

Job Summary:

As a member of the Cognitive Engineering team, you will build and maintain enterprise-scale data extraction, automation, and ML model deployment pipelines.

You will design resilient, production-ready systems within an AWS-based ecosystem, collaborating with a hands-on, technically strong global team to solve high-complexity problems end-to-end.

Key Responsibilities:

  • Develop, deploy, and operate data extraction and automation pipelines in production.

  • Integrate and deploy machine learning models into pipelines (e.g., inference services, batch scoring).

  • Lead the delivery of complex extraction, transformation, and ML deployment projects.

  • Scale pipelines on AWS (EKS, ECS, Lambda) and manage DataOps processes with Celery, Redis, and Airflow.

  • Implement robust CI/CD pipelines on Azure DevOps and maintain comprehensive test coverage.

  • Strengthen data quality and reliability through logging, metrics, and automated alerts.

  • Partner with data scientists, ML engineers, and product teams to align on requirements and delivery timelines.

Technical Requirements:

  • 2-6 years of relevant experience in data engineering, automation, or ML deployment.

  • Expert proficiency in Python, including building extraction libraries and RESTful APIs.
  • Hands-on experience with task queues and orchestration: Celery, Redis, Airflow.

  • Strong AWS expertise: EKS/ECS, Lambda, S3, RDS/DynamoDB.

  • Containerization and orchestration experience: Docker (mandatory), basic Kubernetes (preferred).

  • Proven experience deploying ML models to production.

  • Solid understanding of CI/CD practices and hands-on experience with Azure DevOps.

  • Familiarity with SQL and NoSQL stores (e.g., PostgreSQL, MongoDB)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Lead Data Potential: Insight & Career Growth Guide


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

318059 Jobs in India
318059
4284 Jobs in Gurugram
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Download Lead Data Jobs Trends in Gurugram and India

Are You Looking for Lead Data Engineer Job?

Great news! is currently hiring and seeking a Lead 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 Confidential 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 Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Gurugram. 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 Engineer?

Key qualifications for Lead 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.

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Interview Tips for Lead Data Engineer Job Success

Confidential interview tips for Lead Data Engineer

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

Before the Interview:

Research: Learn about the Confidential'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.

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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 Engineer interview at Confidential, 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 Confidential'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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