Description

Key Skills: SQL, GCP, BigQuery, Dataflow, Tableau, Looker, PLX, Cloud SQL, Spanner, Databricks, ETL, Data Pipelines, Data Migration, Distributed Data Processing Frameworks, Data Visualization, Python

Roles & Responsibilities:

• Develop and optimize complex SQL scripts for analytics, reporting, and large-scale data processing use cases
• Build, manage, and operate cloud-based data pipelines on GCP for ingesting and transforming data across multiple source systems
• Design and implement ETL workflows using distributed data processing frameworks and modern analytical data platforms
• Develop scalable data engineering solutions using BigQuery, Dataflow, Cloud SQL, Spanner, and Databricks
• Execute database migration strategies across multiple database technologies using industry-standard migration methodologies
• Support modernization initiatives including cloud migration and Databricks migration activities
• Develop and maintain data visualization dashboards and reporting solutions using Tableau, Looker, and PLX
• Perform debugging, troubleshooting, and issue resolution for analytics dashboards, ETL jobs, and data pipelines
• Collaborate with business stakeholders to understand analytical requirements and deliver data-driven insights
• Ensure data quality, governance, reliability, and performance optimization across cloud data platforms
• Support data integration, transformation, and validation activities for enterprise analytics solutions
• Work with structured and transactional datasets to support business intelligence and operational reporting needs
• Contribute to cloud data architecture, data strategy, and continuous improvement initiatives

Experience Required:

• 8 - 10 years of experience in Big Data Engineering, Analytics, and Cloud Data Platform environments
• Strong expertise in SQL and hands-on experience writing complex analytical queries and optimization logic
• Experience working with GCP services including BigQuery, Dataflow, Cloud SQL, and Spanner
• Hands-on experience building ETL workflows, cloud data pipelines, and distributed data processing solutions
• Strong knowledge of Tableau, Looker, and PLX for data visualization and reporting
• Experience supporting data migration and modernization initiatives including Databricks migration activities
• Good understanding of distributed data processing frameworks and modern cloud analytics architectures
• Exposure to Python scripting for automation and data engineering use cases is preferred
• Strong analytical, troubleshooting, communication, and stakeholder collaboration skills
• Ability to work with cross-functional teams in enterprise data engineering and analytics projects

Education: Any Graduation

Key Skills

Education

Any Graduate