Job Description:
Job Title
Lead Developer / Engineer
Years of Experience
6 to 10 years
Job Description
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.
Must-Have Skills
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
Good-to-Have Skills
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
Key Responsibilities
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
Education Qualification
Bachelor’s or Master’s degree in:
Computer Science
Information Systems
Data Engineering
Or a related field
Certifications
GCP Professional Data Engineer Certification
(preferred)
Snowflake Associate / Core certification
Additional certifications (any one preferred):
Databricks
Snowflake
Other cloud data platform certifications
Shift Timing
12:00 PM – 9:00 PM IST
OR 2:00 PM – 11:00 PM IST
Location:
DGS India - Bengaluru - Manyata N1 Block
Brand:
Merkle
Time Type:
Full time
Contract Type:
Permanent
