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Data Engineer Job Opening In Vapi – Now Hiring thinkbridge


Job description

About thinkbridge


We are a global digital product development firm that helps growth-stage companies gain the technology sophistication and maturity of leading modern digital businesses.

We differentiate ourselves by delivering exceptional quality at scale and speed with our thinkstack accelerators.

We started with the vision of being able to build amazing software fast.

A new way to build software without any of the compromises that currently plague software development.

A new way to focus on the outcomes instead of the tech, tools, methodologies, processes and vanity artifacts.


Why is thinkbridge a great place to work?


At thinkbridge, we are not just paving the way for exceptional digital experiences; we're also redefining the future of work.

Our Remote First philosophy allows you to take a dive into a world where work doesn’t tie you down.

We’re pioneering a Remote First approach, ensuring you’re connected, no matter where you are.

We foster and encourage a diverse and inclusive work culture where employees feel valued, respected, are encouraged to voice their ideas, have equal opportunities and are treated fairly.

We encourage and provide for our employees health and well-being initiating wellness programs, provide mental health resources, and ergonomically designed workspaces to support employees’ physical and mental health.

We understand the value of work-life balance, hence we follow Flexible Work Hours, to ensure they can rejuvenate besides managing their personal commitments without much hassle.

At thinkbridge, it's more than just a job.

It's a journey of innovation, growth, and balance.

Join us in shaping the future!


thinkbridge is a place where you can:


  • Think bigger – because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues.

  • Move faster – because you’ll be working with experienced, helpful teams who can guide you through challenges, quickly resolve issues, and show you new ways to get things done.

  • Go further – because you have the opportunity to grow professionally, add new skills, and take on new responsibilities in an organization that takes a long-term view of every relationship.

thinkbridge..there’s a new way there.


We live by five core values: Outcomes, Quality, Ownership, Accountability, and Communication.

This role embodies all five - you'll own outcomes, maintain high technical standards, and communicate effectively across all levels.


Experience Level: Junior–Mid Data Engineer (2–4 yrs) with strong Python & SQL skills, hands-on ETL/ELT experience, and exposure to cloud data platforms.


Role Overview:


We are seeking a motivated and detail-oriented Data Engineer with 2–4 years of experience to join our team.

In this role, you will design, build, and maintain efficient data pipelines and infrastructure to support analytics, reporting, and application needs.

You will collaborate with data scientists, analysts, and product teams to ensure smooth data integration from multiple sources into modern cloud-based platforms.

The ideal candidate is a strong problem solver with solid Python and SQL expertise, practical experience in ETL/ELT processes, and familiarity with cloud data services.


What You'll Do


As part of the job, you will be required to


Data Pipeline Development

  • Build and manage data pipelines that automate data ingestion from varied sources (flat files, relational databases, APIs, web scraping).

  • Implement and support workflow orchestration with tools such as Apache Airflow, DBT, or Cloud Data Factories.

  • Enable seamless data transfer to Firestore, Supabase, or relational databases.


Data Management

  • Develop and maintain ETL/ELT workflows for extracting, transforming, and loading data.

  • Work with both relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra).

  • Apply best practices for data quality, validation, and governance.


Programming & Scripting

  • Use Python (Pandas, NumPy) for data manipulation, automation, and pipeline development.

  • Write and optimize SQL queries for joins, filtering, aggregation, and performance tuning.


Cloud Platforms

  • Gain hands-on experience with AWS, GCP, or Azure for data storage, processing, and analytics.

  • Support the design and maintenance of cloud-native data solutions.


Monitoring & Troubleshooting

  • Monitor pipeline health, logging, and performance.

  • Troubleshoot issues, perform root cause analysis, and optimize performance where needed.


Collaboration & Documentation

  • Work with cross-functional teams (analytics, product, data science) to deliver data solutions.

  • Document data flows, pipeline architecture, and standard operating procedures.

  • Stay updated with best practices and emerging data engineering tools.


What We're Looking For


Must have technical skills


  • Bachelor's degree in computer science, Engineering, or equivalent practical experience.

  • Proficiency in Python (Pandas, NumPy) and SQL (JOIN, GROUP BY, optimization).

  • Hands-on experience with ETL/ELT workflows and pipeline tools (Airflow, DBT, Cloud Data Factories).

  • Experience with relational databases (PostgreSQL, MySQL) and familiarity with NoSQL systems (MongoDB, Cassandra).

  • Exposure to cloud platforms (AWS, GCP, Azure) for data services.

  • Strong analytical, problem-solving, and troubleshooting skills.

  • Effective communication and collaboration abilities.


Benefits;


What We Offer


  • Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.

  • Cutting-Edge Projects: Work on exciting projects with the latest technologies
  • Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance.


Work Environment


  • Leave & Time-off – All leaves taken are paid leaves.

    And all the leave and time off are likely pre-approved leaves intended for planned vacations, personal commitments, or any other needs requiring prior approval.

  • Comprehensive Medical & Term Insurance: Full coverage for you and your family peace of mind.

  • We organize city-wise, company-sponsored local meetups—fun-filled day outings with your colleagues!
  • At thinkbridge, you get reimbursed for approved certifications and short courses that support your role.

  • We embrace diversity and ensure equal opportunity for everyone, fostering an inclusive workplace where all voices are valued.

Join thinkbridge to be part of a purpose-driven, innovation-led organization that invests in your growth and empowers you to build a brighter future.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


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

676344 Jobs in India
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3868 Jobs in Vapi
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Are You Looking for 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 thinkbridge 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 Data Engineer Positions?

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

Key qualifications for 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 Data Engineer?

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

thinkbridge interview tips for Data Engineer

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

Before the Interview:

Research: Learn about the thinkbridge'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 Data Engineer interview at thinkbridge, 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 thinkbridge'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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