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Urgent! Senior Data Engineer Job Opening In Vapi – Now Hiring SAIVA AI
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.
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Unlock Your Senior Data Potential: Insight & Career Growth Guide
Real-time Senior Data Jobs Trends in Vapi, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Data in Vapi, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 514400 jobs in India and 2816 jobs in Vapi. This comprehensive analysis highlights market share and opportunities for professionals in Senior Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! SAIVA AI 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: Senior Data Engineer Jobs Vapi.
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:The average salary range for a Senior Data Engineer Jobs India 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.
Key qualifications for Senior Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview: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.
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