Principal Data Engineer

N Human Resources & Management Systems; Dehradun; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

N Human Resources & Management Systems is seeking a Principal Data Engineer to design and drive enterprise-scale Data & Analytics solutions across Google Cloud Platform and Azure. You will collaborate with senior client stakeholders, business consultants and product owners to deliver scalable data architectures.

The role requires hands-on leadership, strong Python, SQL and Spark skills, and experience delivering multiple enterprise data projects.

Qualifications

• Proven experience delivering multiple enterprise data and analytics solutions.
• Strong Python, SQL and Spark skills.
• Hands-on technical leadership while mentoring engineers and analysts.
• Notice period of 30 days or less.

Responsibilities

• Design and drive end-to-end Data & Analytics solution architecture.
• Design conceptual, logical and physical data models.
• Drive GCP and Azure environment design and setup.
• Review solution architecture and technology selection.
• Mentor engineering, analytics and business teams.
• Advise on emerging cloud technologies.
• Participate in pre-sales engagements and PoCs.
• Contribute to technology strategy and thought leadership.

Skills

BigQuery

Dataflow

Pub/Sub

Data Fusion

Python

SQL

Spark

Terraform

CI/CD

GitHub Actions

Data Mesh

Data Fabric

Data Products

Data Contracts

Data Quality

Metadata Management

Data Governance

Data Observability

Kafka

Tools

GCP

Azure

Job description

N Human Resources & Management Systems | Full time

Notice Period: 30 days or less; immediate joiners preferred

About the Role

We are looking for a Principal Data Engineer to design and drive enterprise-scale Data & Analytics solutions across Google Cloud Platform (GCP) and Azure.

You will work closely with senior client stakeholders, Business Consultants and Product Owners to design and implement scalable data and analytics solutions.

Key Technical Skills

• BigQuery
• Dataflow
• Pub/Sub
• Data Fusion
• Python
• SQL
• Spark
• Terraform
• CI/CD
• GitHub Actions
• Data Mesh
• Data Fabric
• Data Products
• Data Contracts
• Data Quality
• Metadata Management
• Data Governance
• Data Observability
• Kafka

AI / Emerging Technologies

• AI / GenAI concepts

Responsibilities

• Design and drive end-to-end Data & Analytics solution architecture
• Design conceptual, logical and physical data models
• Drive GCP and Azure environment design and setup
• Review solution architecture and technology selection
• Mentor engineering, analytics and business teams
• Advise on emerging cloud technologies
• Participate in pre-sales engagements and PoCs
• Contribute to technology strategy and thought leadership

Requirements

• Proven experience delivering multiple enterprise data and analytics solutions
• Strong Python, SQL and Spark skills
• Ability to remain hands-on while providing technical leadership
• Notice period of 30 days or less