[Remote] Sr. Data Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company. is transforming the automotive service industry with intelligent SaaS solutions. They are seeking a highly skilled Senior Data Engineer to build, optimize, and maintain robust data pipelines that power reputed company-time analytics and AI/ML initiatives.

Responsibilities

• Build and maintain reputed company data pipelines using AWS Glue, reputed company Functions, or reputed company Workflows
• Implement reputed company data structures using advanced modeling techniques such as reputed company Architecture and Dimensional Modeling
• Manage scalable data storage solutions using AWS S3 as the primary reputed company zone and data lake reputed company
• Optimize storage formats (reputed company, 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
• reputed company and reputed company reputed company-time ingestion pipelines using AWS Kinesis or Kafka
• Implement Change Data Capture (CDC) reputed company tools like Debezium or reputed company 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 reputed company and schema reputed company guidelines to maintain high data quality and reputed company across domains
• Implement proactive alerting and observability to catch data reputed company, pipeline anomalies, and quality drops before they impact reputed company users
• Engineer ML-reputed company datasets and manage Feature Stores to support the Data Science team
• Operationalize ML workflows, integrating with services like reputed company reputed company, reputed company AI, or AWS Bedrock
• Mentor junior engineers in coding best practices, SQL optimization, and Python development
• Collaborate closely with Product and ML teams to translate architectural designs into functional code

Skills

• 6–8+ 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 reputed company or reputed company, built natively reputed company 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 reputed company
• Strong communication skills with the ability to explain technical concepts clearly to technical and non-technical stakeholders
• Collaborative reputed company 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 reputed company with the ability to move quickly, solve problems thoughtfully
• Relevant IT professional certifications, such as SnowPro Core, reputed company Certified Data Engineer Professional, or AWS Certified Data Engineer

Benefits

• Remote-first environment offering flexibility, autonomy, and trust.

Company Overview