Data Engineer (Cloud Operations)

PACCAR; Maharashtra; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

PACCAR India is seeking a Data Engineer (Cloud Operations) to design, build, operate, and continuously improve secure data pipelines and platforms for reporting and analytics. The role focuses on reliable, compliant data delivery, IAM and encryption controls, CI/CD for data products, and collaboration with stakeholders to meet business requirements.

You'll monitor performance with Grafana, CloudWatch, and ELK, implement data quality, governance, and incident resolution, and support modernization

Qualifications

• Bachelor’s degree in Computer Science, MIS, Engineering, Business Administration, or a related field.

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.
• Secure integration and data exchange by applying API security, SSL/TLS, credential rotation, vulnerability management, and secure-by-design 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.

Skills

Data Platforms

Cloud & Integration

AWS

Snowflake

ETL/ELT

SQL Databases

REST APIs

GraphQL

API Security

Monitoring

OpenTelemetry

Grafana

Prometheus

CloudWatch

ELK Stack

IAM

RBAC

OAuth 2.0

Kubernetes

Docker

Python

PySpark

Shell

Unix/Linux

Automation

Education

Bachelor’s degree in CS/Engineering/MIS

Tools

GCP

OpenAPI

Job description

We are looking for an enthusiastic and inquisitive Data Engineer (Cloud Operations) who will be responsible for designing, building, operating, and continuously improving secure data pipelines, data platforms, and data delivery processes. Ensures reliable, secure, compliant, and high-quality data availability for reporting, analytics, data products, and business-critical applications.

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 environment 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.