Posted on: 26/10/2026



Key Responsibilities :
- Lead the design and implementation of scalable batch and real-time data pipelines on GCP.
- Drive technical solutions using BigQuery, Dataflow, Dataproc, Pub/Sub, and related GCP services.
- Design and optimize complex ETL/ELT workflows and distributed data processing solutions.
- Develop and review Python code and advanced SQL queries for performance, maintainability, and reliability.
- Establish standards for data pipeline development, testing, monitoring, and deployment.
- Optimize BigQuery workloads, query performance, resource utilization, and cloud costs.
- Lead technical discussions, architecture reviews, and solution design sessions.
- Mentor engineers, conduct code reviews, and drive engineering excellence across the team.
- Collaborate with enterprise architects, product owners, and business stakeholders to translate requirements into technical solutions.
- Manage technical risks, resolve complex production issues, and ensure adherence to security and governance standards.
- Support CI/CD implementation, automated testing, and DevOps practices for data engineering workloads.
Required Skills :
- 10-14 years of overall experience in data engineering, cloud data platforms, or related technologies.
- Strong hands-on expertise in GCP data engineering services, particularly BigQuery, Dataflow, Dataproc, and Pub/Sub.
- Advanced proficiency in Python and SQL.
- Proven experience designing enterprise-grade data pipelines and data processing architectures.
- Strong knowledge of batch processing, streaming, distributed computing, and data warehousing.
- Experience in technical leadership, code reviews, mentoring, and delivery ownership.
- Strong troubleshooting, performance optimization, and problem-solving skills.
- Excellent communication and stakeholder management capabilities
- -
Did you find something suspicious?
Posted by
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1680275