Job Summary

GCP Data Engineer will design implement and optimize data solutions on GCP using BigQuery Dataflow and managed databases to support analytics and AI driven products in a hybrid work model. The role focuses on building scalable data pipelines ensuring data quality and enabling secure high performance reporting and insight generation for business teams.

Responsibilities

- Design robust data models on GCP databases that support analytical and transactional workloads while ensuring scalability reliability and efficient query performance for critical business processes.
- Develop efficient data pipelines using GCP Dataflow that ingest transform and enrich structured and semi structured data from multiple source systems into curated datasets for analytics and reporting.
- Optimize BigQuery queries and table structures to reduce cost improve performance and ensure predictable response times for complex analytical workloads supporting business stakeholders.
- Implement data quality checks and validation rules within GCP pipelines to ensure accuracy completeness and timeliness of data used by downstream applications and dashboards.
- Coordinate with product and analytics teams to translate data requirements into technical specifications and implement end to end solutions that align with strategic business objectives.
- Configure secure access patterns for BigQuery and GCP databases by defining roles policies and fine grained controls that protect sensitive information and comply with internal data governance standards.




- Monitor data pipelines and GCP resources using cloud native tooling to detect issues proactively troubleshoot failures and implement corrective actions that maintain high availability and reliability.
- Document data flows lineage transformation logic and operational procedures in clear and reusable formats that support knowledge sharing and smooth onboarding of recent team members.
- Collaborate with AI and analytics teams to provision curated feature ready datasets that enable experimentation model development and deployment of data driven solutions that create measurable business value.
- Engage with stakeholders from finance and operations to understand reporting needs and deliver resilient data solutions that enhance transparency in billing revenue tracking and performance measurement.
- Apply best practices for cost management on GCP by tuning storage formats partitioning strategies and scheduling of pipelines to achieve efficient use of cloud resources while meeting service expectations.
- Perform root cause analysis on data issues by tracing lineage across GCP components and implementing permanent fixes that reduce recurrence and improve trust in enterprise data assets.




- Partner with cross functional teams in a hybrid work model to align on priorities plan releases and ensure smooth delivery of enhancements that continually improve data capabilities.

Qualifications

- Possess hands on experience in designing and managing GCP databases with strong understanding of schemas indexing strategies and performance considerations for large scale datasets.
- Demonstrate advanced proficiency in GCP BigQuery including query design partitioning clustering optimization techniques and cost control strategies for analytical workloads.
- Have practical experience implementing streaming and batch pipelines using GCP Dataflow and related components with focus on reliability observability and fault tolerance.
- Show ability to apply data engineering practices such as version control testing and deployment automation to maintain consistent and predictable delivery of data solutions.
- Bring domain exposure to billing and revenue management processes where data is used to track usage calculate charges and support financial reporting for enterprise customers.
- Exhibit strong communication and collaboration skills to work with business stakeholders analysts and technical peers in a hybrid environment during regular day shifts without travel requirements.
- Display familiarity with cloud security concepts data protection approaches and compliance considerations relevant to managing sensitive financial and customer information in GCP.

Certifications Required Professional Data Engineer on Google Cloud or equivalent GCP data engineering certification is preferred for this role

📌 AI Data Specialist (Chennai)
🏢 Cognizant
📍 Chennai