GCP Data Architect at Capgemini Portugal

Cairo, Cairo, Egypt -

Full Time

Start Date

Immediate

Expiry Date

10 Oct, 26

Salary

0.0

Posted On

12 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GCP, BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, GCS, ETL/ELT, Python, SQL, Data Modeling, CI/CD, Dataplex, Azure Migration, Airflow, Databricks

Industry

IT Services and IT Consulting

Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Overview We are looking for an experienced Microsoft Azure to Google Cloud Platform (GCP) migration Data Engineer to design, build, and optimize scalable data pipelines, data lakes, and analytics solutions on GCP. The role requires strong experience with cloud native data engineering tools such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and GCS, along with excellent ETL/ELT design and performance tuning capabilities. Key Responsibilities Data Pipeline Design & Development Build scalable ETL/ELT pipelines using GCP services (Dataflow, Dataproc, BigQuery). Develop data ingestion frameworks for structured, semi structured, and unstructured data. Implement streaming pipelines using Pub/Sub + Dataflow. Cloud Architecture & Data Modeling Design data lake and warehouse solutions using GCS, BigQuery, Dataproc. Design star/snowflake schemas, partitioning, clustering, and query optimization. Orchestration & Automation Build workflow orchestration using Cloud Composer (Airflow) or Databricks Workflows. Candidate should have hands on experience on writing sql query, store procedure and python language. Create reusable job templates, automation scripts, CI/CD pipelines. Data Quality, Security & Governance Implement data validation, data quality rules, and monitoring dashboards. Dataplex for data quality and governance Ensure compliance with GDPR, internal audit, and data privacy requirements. Performance Optimization Optimize BigQuery queries (partition, cluster, materialized views). Tune Dataflow pipelines for cost and performance efficiency. Cross Functional Collaboration Work with data architects, analysts, product teams, and business users. Understand business requirements and translate them into technical solutions. Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.Make it real | www.capgemini.com

Responsibilities

Design and build scalable data pipelines, data lakes, and analytics solutions on GCP. Implement streaming pipelines and optimize BigQuery performance while ensuring data governance and security compliance.