Merkle
LeadDeveloper/Engineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Developer / Engineer at Merkle. Skills: GCP Cloud, Data Engineering, ETL/ELT pipelines, SQL, Python. Lead design of ETL/ELT pipelines on GCP. Lead implementation of ETL/ELT pipelines on GCP”
Industry & Context.
Troubleshooting; Performance tuning
12:00 PM – 9:00 PM IST, 2:00 PM – 11:00 PM IST
What They're Looking For.
Must Have
SQL and Python expertise, Advanced SQL for data modeling, Advanced SQL for transformations, Advanced SQL for performance tuning, Advanced SQL for analytics in BigQuery, Python proficiency with OOP principles, Python proficiency with SOLID principles, Python proficiency with design patterns, Design and build modular ETL/ELT pipelines, Design and build scalable ETL/ELT pipelines, System design skills, Troubleshooting skills, Performance tuning skills, Experience with distributed data systems, Hands-on GCP experience, Experience integrating REST APIs, Experience consuming REST APIs, Solid understanding of data governance, Solid understanding of data quality, Solid understanding of data privacy, Solid understanding of security best practices, Experience building CI/CD pipelines, Experience automating CI/CD pipelines, Excellent verbal communication skills, Excellent written communication skills, Ability to explain complex technical concepts
Nice to Have
Cloud Build familiarity, Dataform experience, Dataflow exposure, Cloud cost optimization knowledge, Performance tuning on GCP knowledge, API testing tools experience, Clean architecture understanding, Microservices understanding, Domain-driven design understanding, Experience building reusable frameworks, Experience building reusable libraries, Experience building reusable accelerators, AI/ML pipeline orchestration exposure, GCP Professional Data Engineer Certification, Snowflake Associate certification, Snowflake Core certification, Databricks certification, Other cloud data platform certifications
What You'll Do.
Lead design of ETL/ELT pipelines on GCP
Lead implementation of ETL/ELT pipelines on GCP
Develop high-performance SQL models
Develop Python-based data applications
Architect cloud-native solutions
Maintain cloud-native solutions
Define event-driven data architectures
Implement event-driven data architectures
Define real-time data architectures
Implement real-time data architectures
Lead integration with external APIs
Lead integration with enterprise systems
Establish standards for data quality
Establish standards for data governance
Establish standards for data lineage
Establish standards for data security
Establish standards for data compliance
Build CI/CD pipelines
Maintain CI/CD pipelines
Ensure cost efficiency
Provide technical leadership
Partner with cross-functional teams
Deliver scalable solutions
Maintain high-quality technical documentation
Maintain high-quality architecture diagrams
Maintain high-quality engineering standards
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Engineering teams; QA teams; DevOps teams; Compliance teams; Architects; Business stakeholders
Communication Scope
Verbal communication; Written communication; Explain complex concepts
Full Job Description
**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 *
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