Key Responsibilities Technical Leadership

- Lead the design and implementation of scalable data solutions on GCP.
- Define data architecture, data models, and enterprise data integration strategies.
- Establish data engineering best practices, coding standards, and governance frameworks.
- Provide technical guidance and mentorship to data engineers and developers.

Data Engineering & Development
- Design and develop data pipelines using GCP services such as:
- BigQuery
- Dataflow
- Dataproc
- Pub/Sub
- Cloud Composer
- Cloud Storage
- Cloud Functions

- Build and optimize ETL/ELT processes for batch and real-time data processing.
- Implement data quality, validation, and monitoring frameworks.

Support & Operations
- Manage production support activities and incident resolution.
- Perform root cause analysis and implement preventive measures.
- Monitor platform performance, availability, and cost optimization.
- Ensure compliance with SLAs and operational excellence standards.

Stakeholder Management
- Collaborate with business stakeholders, architects, and project managers.
- Translate business requirements into scalable technical solutions.
- Drive technical discussions, architecture reviews, and solution recommendations.
- Prepare status reports and communicate project progress to leadership.

Data Governance & Security
- Implement data security controls and compliance requirements.
- Ensure adherence to data governance policies.
- Manage access controls, encryption, and auditing mechanisms.

Required Skills Google Cloud Platform (Mandatory)
- BigQuery
- Dataflow
- Dataproc
- Pub/Sub
- Cloud Composer (Airflow)
- Cloud Storage
- IAM & Security

Data Engineering




- SQL (Advanced)
- Python
- ETL/ELT Development
- Data Modeling
- Data Warehousing Concepts
- Data Quality Frameworks

Database Technologies
- SQL Server
- Oracle
- PostgreSQL
- Snowflake (preferred)

DevOps & CI/CD
- Git
- Jenkins / GitHub Actions
- Terraform (preferred)
- Infrastructure as Code concepts

Leadership Skills
- Team leadership and mentoring
- Stakeholder management
- Resource planning and estimation
- Agile/Scrum delivery model

Preferred Qualifications
- Bachelors or Masters Degree in Computer Science, IT, Engineering, or related field.
- Google Cloud Qualified Data Engineer Certification.
- Experience in cloud migration and modernization programs.
- Experience working in Banking, Financial Services, Insurance, Retail, or Healthcare domains is preferred.

Experience Requirements
- 10+ years in Data Engineering/Data Warehousing.
- 5+ years of hands-on experience in GCP Data Platform implementations.
- Experience leading teams of 5+ data engineers.
- Experience managing production support and enhancement projects.

Nice to Have
- Spark/PySpark
- Kafka
- Looker
- Tableau
- Power BI
- Machine Learning and AI/ML integration on GCP
- Data Governance tools such as Collibra or Alation

Key Competencies
- Technical Leadership
- Problem Solving
- Analytical Thinking
- Communication Skills
- Customer Focus
- Performance Management
- Risk Management

NA

NA

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

📌 GCP Data Lead (Pune)
🏢 Zensar
📍 Pune