We are looking for a Senior GCP Data Lead Engineer with strong expertise in Google Cloud Platform (GCP) BigQuery and advanced SQL. The role requires hands-on experience in data pipeline development data warehousing and performance optimization along with the ability to lead technical efforts and mentor junior team members.
Key Responsibilities
Data Engineering & GCP Development
Design build and maintain GCP data pipelines (Dataflow Dataform)
Work extensively with BigQuery for analytics and data processing
Develop and optimize complex SQL queries stored procedures and functions
Handle structured and unstructured data processing
Data Warehouse & Performance Optimization
Implement and maintain enterprise data warehouse (EDW) solutions
Analyze and optimize simple to complex SQL queries for performance improvement
Ensure data consistency scalability and reliability
Troubleshooting & Support
Diagnose and resolve complex data and pipeline issues
Perform root cause analysis and implement solutions
Respond to technical queries from stakeholders and team members
Development & DevOps Practices
Follow SDLC and Agile (SAFe) methodologies
Work with version control tools (Bitbucket or similar)
Collaborate with cross-functional teams in an onsite environment
Leadership & Stakeholder Interaction
Act as a technical lead and independent contributor
Mentor and guide junior engineers
Work directly with clients and business stakeholders
Must-Have Skills
Cloud & Data Engineering
Google Cloud Platform (GCP)
BigQuery
Dataflow / Dataform
Enterprise Data Warehouse (EDW)
Programming & Querying
Strong expertise in:
SQL / Analytical SQL
PL/SQL (or any RDBMS)
Python scripting
Unix scripting
Platform & Tools
Experience with:
Kubernetes / Docker
Version control (Bitbucket or similar)
Good-to-Have Skills
Experience with Netezza
Exposure to cloud migration projects
Knowledge of data modernization initiatives
Soft Skills
Strong problem-solving and analytical skills
Ability to work independently and as a lead
Excellent communication with clients and stakeholders
Role Summary We are looking for a Senior GCP Data Lead Engineer with strong expertise in Google Cloud Platform (GCP) BigQuery and advanced SQL. The role requires hands-on experience in data pipeline development data warehousing and performance optimization along with the ability to lead technical ef...
Role Summary
We are looking for a Senior GCP Data Lead Engineer with strong expertise in Google Cloud Platform (GCP) BigQuery and advanced SQL. The role requires hands-on experience in data pipeline development data warehousing and performance optimization along with the ability to lead technical efforts and mentor junior team members.
Key Responsibilities
Data Engineering & GCP Development
Design build and maintain GCP data pipelines (Dataflow Dataform)
Work extensively with BigQuery for analytics and data processing
Develop and optimize complex SQL queries stored procedures and functions
Handle structured and unstructured data processing
Data Warehouse & Performance Optimization
Implement and maintain enterprise data warehouse (EDW) solutions
Analyze and optimize simple to complex SQL queries for performance improvement
Ensure data consistency scalability and reliability
Troubleshooting & Support
Diagnose and resolve complex data and pipeline issues
Perform root cause analysis and implement solutions
Respond to technical queries from stakeholders and team members
Development & DevOps Practices
Follow SDLC and Agile (SAFe) methodologies
Work with version control tools (Bitbucket or similar)
Collaborate with cross-functional teams in an onsite environment
Leadership & Stakeholder Interaction
Act as a technical lead and independent contributor
Mentor and guide junior engineers
Work directly with clients and business stakeholders
Must-Have Skills
Cloud & Data Engineering
Google Cloud Platform (GCP)
BigQuery
Dataflow / Dataform
Enterprise Data Warehouse (EDW)
Programming & Querying
Strong expertise in:
SQL / Analytical SQL
PL/SQL (or any RDBMS)
Python scripting
Unix scripting
Platform & Tools
Experience with:
Kubernetes / Docker
Version control (Bitbucket or similar)
Good-to-Have Skills
Experience with Netezza
Exposure to cloud migration projects
Knowledge of data modernization initiatives
Soft Skills
Strong problem-solving and analytical skills
Ability to work independently and as a lead
Excellent communication with clients and stakeholders