Date: Sep 8, 2026
Location: Pune, IN
Company: PACCAR
Key Responsibilities –
- Design, develop, deploy, and support scalable data pipelines, data models, and platform solutions.
- Monitor, maintain, and troubleshoot data platform operations to ensure reliability, performance, and availability.
- Implement data quality, governance, and security controls including IAM, RBAC, least privilege, encryption, secrets management, logging, auditability, and compliant data handling.
- Ensure secure integration and data exchange by applying API security, SSL/TLS certificates, credential rotation, vulnerability management, and secure-by-design operational practices.
- Build and manage CI/CD pipelines, automation, and release processes for data engineering solutions.
- Collaborate with business and technical stakeholders to deliver data solutions aligned with business requirements.
- Drive incident resolution, root cause analysis, and continuous improvement of data platforms and processes.
- Support cloud-based data platform modernization, migrations, and operational excellence
Education Requirements:
- Bachelor’s degree in Computer Science, MIS, Engineering, Business Administration, or a related field required.
Knowledge & Skills REQUIRED:
- Minimum 5+ years of relevant work experience –
- Data Platforms, Cloud & Integration
- AWS Cloud Platform: EC2, S3, RDS, Lambda, Glue, IAM, Secrets Manager
- Snowflake, data lake/lakehouse concepts, ETL/ELT, data ingestion, batch processing, and SQL databases
- REST APIs, GraphQL, API Management, JSON, OpenAPI, API security, and event-based integration
- Monitoring & Observability
- Grafana, Prometheus, CloudWatch, OpenTelemetry, ELK Stack, and data quality dashboards
- Security & Networking
- IAM, RBAC, OAuth 2.0, OpenID Connect, SAML
- SSL/TLS certificates, encryption, secrets management, credential rotation
- Network security, API security, vulnerability management
- Wiz managed-solution actions, GitHub Advanced Security, and security mitigations
Knowledge & Skills Good To Have:
- Kubernetes, Docker, container orchestration, scaling, high availability, infrastructure automation, and platform monitoring
- Database performance tuning, data warehousing, and query optimization
- Google Cloud Platform (GCP)
- Programming & Automation: Python, PySpark, Shell/Bash, PowerShell, YAML, JSON, and basic Unix/Linux/Windows administration
- Infrastructure as Code, Visual Studio Code
COMPETENCIES AND BEHAVIORS:
- Excellent problem-solving skills, strong written and verbal English communication skills, and the ability to work effectively across cultures.
- Maintains a strong security mindset by proactively considering data protection, access management, compliance, and operational risk in day-to-day work.
- Able to work effectively in a team workplace with little or no supervision.
- Able to work effectively with remote and distributed teams.
- Able to prioritize and track multiple initiatives concurrently.
- Embody and promote PACCAR values of Teamwork, Continuous Improvement, Commitment, Openness, and Learning.
Job Segment: Operations Manager, Computer Science, Data Warehouse, Engineer, Operations, Technology, Engineering
📌 Data Engineer (Cloud Operations) (Pune)
🏢 PACCAR
📍 Pune