About Dynatron
Dynatron is transforming the automotive service industry with intelligent SaaS solutions that drive measurable results for thousands of dealership service departments. Our proprietary analytics, automation, and AI-powered workflows empower service leaders to improve profitability, elevate customer satisfaction, and operate with greater efficiency. With accelerating growth, expanding product innovation, and increasing market demand, we are scaling quickly and data is a critical driver of what comes next.
The Chance
Dynatron is seeking a highly skilled, India-based Senior Data Engineer to join our growing data team. While our architects define the blueprint, you will be the lead craftsman responsible for
building, optimizing, and maintaining the robust data pipelines that power our real-time
analytics, AI/ML initiatives, and enterprise reporting. You are a hands-on expert in AWS
and modern cloud data stacks, specifically Snowflake or Databricks, and possess the
engineering rigor to build scalable, production-grade data ecosystems.
Work Hours & Collaboration Expectations




This role is remote, with required availability during core collaboration hours with U.S.-based teams:
- 9:00 AM – 2:00 PM EST
- 8:00 AM – 1:00 PM CST
- 7:00 AM – 12:00 PM MST
- 6:00 AM – 11:00 AM PST

The remaining three hours of the workday may be completed before or after core hours at your discretion.
What You’ll Do

Pipeline Development & AWS Data Lake Engineering
- Build and maintain complex data pipelines using AWS Glue, Step Functions, or Databricks Workflows.
- Implement modular data structures using advanced modeling techniques such as Medallion Architecture and Dimensional Modeling.
- Manage scalable data storage solutions using AWS S3 as the primary landing zone and data lake foundation.
- Optimize storage formats (Delta, Iceberg, Parquet) and compute performance to ensure high-throughput and cost-effective processing.
- Build decoupled, event-driven architectures using

📌 Sr. Data Engineer (India)
🏢 Dynatron Software
📍 India