MSX International
Automotive
DataEngineer
Neural analysis suggests this role is
optimal for not-applicable candidates.
“Data Engineer at MSX International. Skills: Data pipelines, ETL/ELT, Cloud platforms, Database optimization. Design data pipelines. Implement data pipelines”
Industry & Context.
Root cause analysis; Performance tuning; Remediation
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, 4–7+ years in data delivery, Expertise in SQL, Database design, Optimization techniques, Orchestration tools (Airflow/Prefect), Cloud platforms and services (Azure, AWS, GCP), Python/Scala proficiency, ETL tools and data integration, Streaming and batch processing, IaC basics, Observability, Data security and compliance
Nice to Have
Experience with automotive industry data systems, BPO experience, AI/ML data infrastructure background, Knowledge management background, Cloud platforms certification, Database certification, Multi-language data systems experience, Global database experience, Automotive industry compliance knowledge, Data regulations knowledge
What You'll Do.
Design data pipelines
Implement data pipelines
Monitor data pipelines
Manage connectors to source systems
Implement database systems
Integrate diverse data sources
Implement data warehousing solutions
Implement data quality checks
Implement data lineage
Implement data contracts
Optimize database performance
Automate orchestration
Support performance tuning
Integrate with MSX systems
Integrate with cloud platforms
Implement security measures
Develop API interfaces
Establish data governance frameworks
Partner on data structure implementation
Support data collection tool development
Collaborate on system integration
Track technical milestones
How You'll Work.
Team & Collaboration
Knowledge Architect; Data Scientist; Knowledge Champions; Development team; PMO; Privacy/DPO
Process & Methodology
Milestones definition, Risk assessment, Milestone tracking
Full Job Description
MSX International Group is the leading global provider of outsourced business solutions for the automotive industry making business in more than 80 countries. MSXI’s deep industry expertise combined with advanced data analytics and custom software solutions improve the performance of automotive dealership networks by increasing revenue, reducing cost, and enhancing customer satisfaction. The Data Engineer will build and operate scalable, reliable data pipelines (ingestion, transformation, orchestration) powering the knowledge base, analytics, and applications supporting MSX’s knowledge initiative, creating scalable, secure database information that power AI-driven automotive intelligence across global operations. Key Responsibilities Data Pipeline Architecture & Development – Design, implement, and monitor data pipelines/ETL/ELT. Manage connectors to source systems. Implement robust database systems for automotive knowledge storage integrating diverse data sources (SharePoint, TrackIt, external APIs). Implement data warehousing solutions enabling advanced analytics and AI applications. Performance Optimization & Scalability - Implement data quality checks, lineage, and data contracts. Optimize database performance for global access across 80+ countries - Automate orchestration and CI/CD. - Support backfill, remediation, and performance tuning. Integration & Security - Integrate with existing MSX systems and cloud platforms (Azure, GCP, AWS) - Implement robust security measures protecting proprietary automotive knowledge - Develop API interfaces enabling seamless knowledge access by AI agents and applications - Establish data governance frameworks ensuring compliance with global regulations. Secure and govern data access and secrets. Technical Collaboration - Partner with Knowledge Architect and Data Scientist on optimal data structure implementation - Support Knowledge Champions and Knowledge Acquisition Specialists with data collection tool development - Collaborat
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