### **Job Title**
- *Lead Developer / Engineer**
### **Years of Experience**
### **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**
* 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
- 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
- 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
- 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**
DGS India \- Bengaluru \- Manyata N1 Block**Brand:**
Merkle**Time Type:**
Full time**Contract Type:**
Permanent