Job Description:

Lead Developer / Engineer

6 to 10 years

We are seeking an experienced GCP Cloud Tech Lead – Data Engineering to lead the design, development, and modernization of scalable, secure, and high-performance data platforms on Google Cloud.

In this role, you will:

• Provide technical guidance
• Define cloud data architecture
• Mentor engineers
• Ensure best practices across data engineering, analytics, and AI initiatives

You will work closely with architects and business stakeholders to translate complex requirements into robust cloud-native data solutions.

SQL & Python (Mandatory)

• Strong expertise in SQL and Python
• Advanced SQL for:
  • Data modeling
  • Transformations
  • Performance tuning
  • Analytics in BigQuery
• Strong Python proficiency with:
  • OOP principles (encapsulation, inheritance, polymorphism, abstraction)
  • SOLID principles
  • Design patterns

Data Engineering & Pipelines

• Proven experience designing and building modular, scalable ETL/ELT pipelines
• Strong system design, troubleshooting, and performance tuning skills
• Experience working with distributed data systems

GCP Cloud Expertise

• Hands-on experience with Google Cloud Platform (GCP) services:
  • BigQuery
  • Cloud Storage (GCS)
  • Cloud Functions
  • Cloud Run
  • Cloud Composer
  • Pub/Sub
• Strong understanding of event-driven and real-time architectures using Pub/Sub and Eventarc

Integration & APIs

• Experience integrating and consuming REST APIs for data ingestion and platform integration

Data Governance & Security

• Solid understanding of:
  • Data governance
  • Data quality
  • Privacy
  • Security best practices in cloud environments

DevOps & CI/CD

• Experience building and automating CI/CD pipelines
• Familiarity with Cloud Build (preferred)

Collaboration & Communication

• Excellent verbal and written communication skills
• Ability to explain complex technical concepts to non-technical stakeholders
• Strong collaboration with product, engineering, QA, DevOps, and compliance teams

• Experience with Dataform for SQL-based transformations
• Exposure to Dataflow (Apache Beam) for large-scale batch and streaming processing
• Knowledge of cloud cost optimization and performance tuning on GCP
• Experience with API testing tools (e.g., Postman)
• Understanding of:
  • Clean architecture
  • Microservices
  • Domain-driven design
• Experience building reusable frameworks, libraries, or accelerators
• Exposure to AI/ML pipeline orchestration

Architecture & Development

• Lead design and implementation of scalable ETL/ELT pipelines on GCP
• Develop high-performance SQL models and Python-based data applications
• Architect and maintain cloud-native solutions using:
  • BigQuery, GCS, Cloud Functions, Cloud Run
  • Cloud Composer, Pub/Sub, Eventarc, Dataform

Real-Time & Integration

• Define and implement event-driven, real-time data architectures
• Lead integration with external APIs and enterprise systems

Governance & Best Practices

• Establish standards for:
  • Data quality
  • Governance
  • Lineage
  • Security
  • Compliance

DevOps & Performance

• Build and maintain CI/CD pipelines (Cloud Build)
• Ensure:
  • Performance
  • Scalability
  • Reliability
  • Cost efficiency

Leadership & Collaboration

• Provide technical leadership and mentorship
• Partner with cross-functional teams to deliver scalable solutions
• Maintain high-quality:
  • Technical documentation
  • Architecture diagrams
  • Engineering standards

• Bachelor’s or Master’s degree in:
  • Computer Science
  • Information Systems
  • Data Engineering
  • Or a related field

• GCP Professional Data Engineer Certification (preferred)
• Snowflake Associate / Core certification
• Additional certifications (any one preferred):
  • Databricks
  • Snowflake
  • Other cloud data platform certifications

• 12:00 PM – 9:00 PM IST
• OR 2:00 PM – 11:00 PM IST

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