Senior GCP Cloud Data Engineer

Position Description
Founded in 1976 CGI is among the largest independent IT and business consulting services firms in the world. With 94000 consultants and professionals across the globe CGI delivers an end-to-end portfolio of capabilities from strategic IT and business consulting to systems integration managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at .

Job Title: Senior GCP Cloud Data Engineer
Location: Any CGI location
Experience: 6 years relevant
Category: Infrastructure
Shift: Timing/rotation etc. details
Main location: Bangalore
Position ID: J1026-1565
Employment Type: Full Time

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Education Qualification: Bachelors degree in computer science or related field or higher with minimum 3 years of relevant experience.

Job Description:

Role Overview
We are looking for a Senior GCP Cloud Data Engineer with strong hands on experience in GCP data services ETL/ELT pipeline development and Terraform. The candidate will lead the design and implementation of scalable data solutions for HR analytics ensure data quality and provide technical guidance to the internal team.
Key Responsibilities

. 6 years experience in Design and implement endtoend data pipelines (ETL/ELT) for HR analytics use cases including ingestion from multiple source systems and APIs
. Architect and build data processing pipelines including flattening and transforming nested and complex datasets
. Design data storage and warehousing schemas including data models optimized for analytics and reporting
. Continuously identifying and resolving bottlenecks to ensure systems run cost effectively
. Lead technical decisions on GCP services advising which tools and services are appropriate for the use case
. Implement infrastructure using Infrastructure as Code (Terraform) and guide best practices
. Manage historical data loads including validation reconciliation and rowcount checks between source and target systems
. Establish data quality controls checks and balances prior to production deployment
. Interface with legacy systems (SQLServer Terradata MySQL)
. Provide technical leadership and mentorship to internal team members who will support implementation
.

Required Skills & Experience

. Strong hands on experience with GCP data engineering particularly BigQuery Cloud Storage Dataproc and Cloud Composer.
. Proven experience designing and building data pipelines and ETL/ELT architecture
. Experience working with APIbased and nested datasets including transformation and flattening
. Strong hands on experience with Terraform for GCP infrastructure provisioning including modules and state management.
. Working knowledge of Python for data engineering tasks
. Experience with data validation historical data migration reconciliation and performance optimization.
. Working knowledge of GCP IAM security and cost optimization.
. Ability to independently lead technical decisions and mentor team members.
. Preferred professional level certification in Google cloud data engineering and cloud architecture

Good to Have

. Familiarity with Vertex AI and GCP machine learning capabilities.
. Exposure to CI/CD and automated infrastructure deployments.

• Data Engineering
• Data Engineering
• Google Cloud Platform
• Python
• Terraform

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