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Senior Data Engineer Job Opening In Vapi – Now Hiring SAIVA AI


Job description

We are building the future of healthcare analytics.

Join us to design, build, and scale robust data pipelines that power nationwide analytics and support our machine learning systems.

Our goal: pipelines that are reliable, observable, and continuously improving in production.
This is a fully remote role, open to candidates based in Europe or India, with periodic team gatherings in Mountain View, California.
What You’ll Do Design, build, and maintain scalable ETL pipelines using Python (Pandas, PySpark) and SQL, orchestrated with Airflow (MWAA).
Develop and maintain the SAIVA Data Lake/Lakehouse on AWS, ensuring quality, governance, scalability, and accessibility.
Run and optimize distributed data processing jobs with Spark on AWS EMR and/or EKS.
Implement batch and streaming ingestion frameworks (APIs, databases, files, event streams).
Enforce validation and quality checks to ensure reliable analytics and ML readiness.
Monitor and troubleshoot pipelines with CloudWatch, integrating observability tools like Grafana, Prometheus, or Datadog.
Automate infrastructure provisioning with Terraform, following AWS best practices.
Manage SQL Server, PostgreSQL, and Snowflake integrations into the Lakehouse.
Participate in an on-call rotation to support pipeline health and resolve incidents quickly.
Write production-grade code, and contribute to design/code reviews and engineering best practices.
What We’re Looking For 5+ years in data engineering, ETL pipeline development, or data platform roles (flexible for exceptional candidates).
Experience designing and operating data lakes or Lakehouse architectures on AWS (S3, Glue, Lake Formation, Delta Lake, Iceberg).
Strong SQL skills with PostgreSQL, SQL Server, and at least one AWS cloud warehouse (Snowflake or Redshift).
Proficiency in Python (Pandas, PySpark); Scala or Java a plus.
Hands-on with Spark on AWS EMR and/or EKS for distributed processing.
Strong background in Airflow (MWAA) for workflow orchestration.
Expertise with AWS services: S3, Glue, Lambda, Athena, Step Functions, ECS, CloudWatch.
Proficiency with Terraform for IaC; familiarity with Docker, ECS, and CI/CD pipelines.
Experience building monitoring, validation, and alerting into pipelines with CloudWatch, Grafana, Prometheus, or Datadog.
Strong communication skills and ability to collaborate with data scientists, analysts, and product teams.
A track record of delivering production-ready, scalable AWS pipelines, not just prototypes.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


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

474286 Jobs in India
474286
2691 Jobs in Vapi
2691
Download Senior Data Jobs Trends in Vapi and India

Are You Looking for Senior Data Engineer Job?

Great news! is currently hiring and seeking a Senior 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 SAIVA AI 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 Senior 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 Senior Data Engineer?

Key qualifications for 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.

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

SAIVA AI interview tips for Senior Data Engineer

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

Before the Interview:

Research: Learn about the SAIVA AI'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 Senior Data Engineer interview at SAIVA AI, 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 SAIVA AI'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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