Data Engineer

🔥 7 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Dynatron Software, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1999

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Dynatron Software, Inc. is a company that combines advanced analytics software with expert coaching to help automotive service departments maximize their revenue opportunities. Their product suite includes various solutions like PriceSmart for optimizing labor and part pricing, FileSmart for enhancing warranty labor rates and parts markup, SellSmart for increasing service sales to existing customers, and MarketSmart for boosting service department traffic through strategic marketing campaigns. With a focus on increasing profitability, Dynatron collaborates closely with dealerships to identify and capitalize on hidden revenue streams using their proprietary analytics and extensive repair order database.

📋 Description

• 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

• 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

• 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