Lead Data Engineer

About The Role :
Job SummaryThe role involves full systems life cycle management, including analysis, design, coding, testing, and implementation of applications. Responsibilities include contributing to architecture design, technology planning, and integration for Applications Development (AD) projects. The position supports emerging technologies, ensures effective communication, and provides expertise in development, integration, and maintenance.
Key Responsibilities
Data EngineeringDesign, implement, and optimize data pipelines using Google Cloud Platform (GCP) services (DataFlow, BigQuery, Cloud Pub/Sub, Cloud Storage), ShellScript, and CI/CD tools like Jenkins.Collaboration & DocumentationGather requirements, define scope, and produce technical documentation.Data Quality & GovernanceImplement best practices for data accuracy, consistency, and reliability.Performance OptimizationMonitor and optimize pipeline and query performance.Required Skills & Experience
Technical ExpertiseMinimum 7+ years in GCP, BigQuery, SQL, OpenShift, Shell Scripting, Python, Power BI.Strong understanding of data modeling, database design, and ETL processes.Experience integrating GCP with on-premises systems, other cloud services, and middleware.Ability to debug and resolve issues effectively.Strong understanding of ML , DL , and AI TechnologiesExcellent problem-solving, analytical, communication, and teamwork skills.Employee Type:
Permanent