DS
Data Engineer
Contract type
Ongoing
Work mode
Remote · India
Experience
Senior · 5+ years
Job description
A Data Engineer role at Dynatron Software, based remotely in India, to build, optimize, and maintain data pipelines powering real-time analytics, AI/ML initiatives, and enterprise reporting. The engineer acts as the lead craftsman implementing architectural blueprints in AWS and modern cloud data stacks.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote · India
- Pay
- INR 5,750,000 / year
What you'll do
- 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
- 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
- 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
- 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
- Adhere to coding best practices, SQL optimization, and Python development
- Collaborate closely with Product and ML teams to translate architectural designs into functional code
- Participate in an on-call rotation to monitor pipeline health and respond to production data issues outside of core hours as needed
What we're looking for
- 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, built natively within an AWS ecosystem
- Proven track record building streaming applications using Kinesis or Kafka
- Demonstrated experience implementing automated testing frameworks, data profiling, and pipeline validation (owning the QA of your own pipelines)
- Strong documentation habits (playbooks, technical specs) and an ownership mindset
- 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
Nice to have
- Relevant IT professional certifications, such as SnowPro Core, Databricks Certified Data Engineer Professional, or AWS Certified Data Engineer
Your team
data team
A growing data team; the role partners across Data, Product, Engineering, Analytics, ML, and business leadership.
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
Apply
About Dynatron Software
Championing a new standard of Fixed Ops excellence for automotive dealerships
Dynatron delivers unique insights and actions that help automotive dealerships drive revenue growth, expand margins, and uplift retention through an AI-powered Fixed Ops Data Intelligence Platform, proven methodology, and expert coaching.
Key facts
- Automotive Fixed Ops data intelligence / SaaS
- AI-powered Fixed Ops Data Intelligence Platform
- Serves automotive dealerships
- AI-enabled SaaS company
- Remote-first culture
What they value
- Accountability
- Urgency
- Delivering measurable results