ABOUT DYNATRON

Dynatron is championing a new standard of Fixed Ops excellence for automotive
dealerships. We cut through the Fixed Ops data fog and deliver unique insights
and actions that help you drive revenue growth, expand margins, and uplift
retention—all through a unique AI-powered Fixed Ops Data Intelligence Platform,
proven methodology, and expert coaching.

THE OPPORTUNITY

Dynatron is seeking a highly skilled India based - remote 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 contemporary cloud data
stacks, specifically Snowflake or Databricks, and possess the
engineering rigor to build scalable, production-grade data ecosystems.

Hours of Expectation

Critical hours to be available for collaboration with the US team are:

* 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 balance of 3 hours each day can be worked before or after core hours at your
discretion.

This role includes on-call responsibilities; the engineer is expected to
participate in a rotation to monitor pipeline health and respond to production
data issues outside of core hours as needed.

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 AWS SNS and

📌 Data Engineer (India)
🏢 Dynatron
📍 India