Data Engineer

Dynatron Software, Inc.

Data Engineer building and optimizing data pipelines for Dynatron, an automotive SaaS company. Collaborate with teams to manage complex data systems and real-time analytics.

Posted 7/29/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSenior💰 ₹5,750,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining complex data pipelines using AWS services, with a strong focus on data quality, validation, and operational discipline. Proficient in implementing advanced data modeling techniques and optimizing data storage and processing for high performance.

Highest-signal resume keywords

AWS GluePythonKinesisData ValidationSnowflake

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSQLPySparkDimensional ModelingChange Data CaptureETLData Quality ChecksStreaming ApplicationsData LakeEvent-Driven Architecture

Soft Skills

Strong CommunicationCollaborative MindsetOwnership MindsetDocumentation Habits

Tools & Technologies

AWS S3DatabricksAWS Step FunctionsAWS SNSAWS SQSDebeziumFivetranDatabricks AIAWS BedrockSnowflake Cortex

Certifications & Qualifications

SnowPro CoreDatabricks Certified Data Engineer ProfessionalAWS Certified Data Engineer

Industry Keywords

Medallion ArchitectureDeltaIcebergParquetOperational Analytics

Tech Stack

Tools & technologies

AWSDistributed SystemsETLKafkaPySparkPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
Relevant IT professional certifications, such as SnowPro Core, Databricks Certified Data Engineer Professional, or AWS Certified Data Engineer (Nice-to-Have).
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.

Benefits

Comp & perks

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