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

📌 GCP Data Lead (Pune)
🏢 Zensar
📍 Pune