Data Engineer - Remote India

Dynatron Software, Inc.; India; Remote; INR 4,888,000 - 6,613,000; Full time

Benefits offered by this job

Equity Incentive Plan

Remote-first culture

Health, dental, and vision insurance

401(k) with company match

Job summary

Dynatron Software, Inc. is seeking a highly skilled India-based remote Data Engineer to lead the development, optimization, and maintenance of robust data pipelines powering real-time analytics and AI/ML initiatives.

The role requires hands-on expertise in AWS and modern cloud data stacks, with emphasis on Snowflake or Databricks. Critical collaboration hours with US teams are defined, and the engineer will participate in on-call rotations to ensure pipeline health and production data issue

Qualifications

• 5+ years of experience in data engineering with a focus on large-scale distributed systems.
• Expert-level Python and PySpark with strong SQL skills.
• Deep hands-on experience with Snowflake or Databricks in an AWS ecosystem.

Responsibilities

• Build and maintain complex data pipelines using AWS Glue, Step Functions, or Databricks Workflows.
• Implement modular data structures using Medallion Architecture and Dimensional Modeling.
• Manage scalable data storage using AWS S3 as landing zone and data lake foundation.

Skills

Python

PySpark

SQL

Snowflake

Databricks

AWS

Kinesis

Kafka

Data modeling

Data pipelines

Tools

Snowflake

Databricks

AWS

S3

Airflow/Step Functions

Job description

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 modern 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 SQS to handle high-throughput messaging between data services.

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 modern 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 SQS to handle high-throughput messaging between data services.

Real-Time Data Streaming & Ingestion

• Develop and deploy real-time ingestion pipelines using AWS Kinesis or Kafka.
• Implement Change Data Capture (CDC) via tools like Debezium or Fivetran to support low-latency operational analytics.

Core Data Quality & Automated Validation (QA Ownership)

• Own end-to-end data validation and QA by building automated data quality checks directly into the ETL/ELT pipelines.
• Enforce strict data contracts and schema evolution guidelines to maintain high data quality and integrity across domains.
• Implement proactive alerting and observability to catch data drift, pipeline anomalies, and quality drops before they impact downstream users.

Engineering for ML/AI

• Engineer ML-ready datasets and manage Feature Stores to support the Data Science team.
• Operationalize ML workflows, integrating with services like Snowflake Cortex, Databricks AI, or AWS Bedrock.

Technical Leadership & Collaboration

• Adhere tocoding best practices, SQL optimization, and Python development.
• Collaborate closely with Product and ML teams to translate architectural designs into functional code.

Required Qualifications

• Experience: 5+years of experience in data engineering with a focus on large-scale distributed systems.
• Core Languages: Expert-level Python and PySpark with Strong SQL skills.
• Platforms: Deep hands‑on experience with Snowflake or Databricks, built natively within an AWS ecosystem.
• Streaming: Proven track record building streaming applications using Kinesis or Kafka.
• Data Validation: Demonstrated experience implementing automated testing frameworks, data profiling, and pipeline validation (owning the QA of your own pipelines).
• Soft Skills: Strong documentation habits (playbooks, technical specs) and an ownership mindset.
• Certifications (Nice-to-Have): Relevant IT professional certifications, such as SnowPro Core, Databricks Certified Data Engineer Professional, or AWS Certified Data Engineer.

Collaboration & Ownership

• Strong communication skills with the ability to explain technical concepts clearly to technical and non-technical stakeholders.
• Collaborative mindset with the ability to partner effectively across Product, Engineering, Analytics, ML, and leadership teams.
• High standards for quality, maintainability, performance, and operational discipline.
• Strong ownership mindset with the ability to move quickly, solve problems thoughtfully,

What Success Looks Like

This role rewards data engineers who:

• Build scalable, reliable, and secure data systems that support real business outcomes.
• Operate with urgency, ownership, and strong engineering discipline.
• Think beyond individual pipelines to improve platform quality, observability, and long-term maintainability.
• Help Dynatron turn trusted data into smarter products, better decisions, and stronger customer outcomes and follow through reliably.
• Partner effectively across technical and business teams.

Compensation & Benefits

• Competitive base salary: $5,750,000 INR/yr
• Participation in Dynatron’s Equity Incentive Plan
• Comprehensive health, dental, and vision insurance
• Employer-paid disability and life insurance
• 401(k) with competitive company match
• Flexible vacation policy and 11 paid holidays
• Remote-first culture
• Ongoing professional development opportunities

Why Dynatron

• Opportunity to build and scale the data foundation of a growing, AI-enabled SaaS company.
• High-impact role supporting real-time analytics, machine learning, enterprise reporting, and product innovation.
• Close partnership across Data, Product, Engineering, Analytics, and business leadership.
• Values-driven culture built on accountability, urgency, and delivering measurable results.
• Remote-first environment offering flexibility, autonomy, and trust.

Have you ever been convicted of a felony?

1. Please go to https://vocaroo.com
2. Complete a 60 second audio introduction (about yourself and relevant technical skills).
3. Then copy/paste the link to your completed audio introduction below. *

The following questions are entirely optional. To comply with government Equal Employment Opportunity and/or affirmative action reporting regulations, we are requesting (but NOT requiring) that you enter this personal data. This information will not be used in connection with any employment decisions, and will be used solely as permitted by state and federal law. Your voluntary cooperation would be appreciated. Learn more .