GCP Data Engineer

The Team

Deloitte's Technology & Transformation: EAD: Engineering practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Your work profile

Deloitte is looking for an experienced GCP Data Engineer – Senior Consultant to design, develop, and optimize scalable cloud-based data solutions on Google Cloud Platform (GCP). The candidate will work with cross-functional teams to build modern data pipelines, data lakes, and analytics platforms supporting enterprise digital transformation initiatives.

Key Skills & Competencies

• Design and develop scalable ETL/ELT pipelines using GCP services.
• Build and maintain cloud-native data architectures using: BigQuery, Dataproc, Pub/, Composer (Airflow), Dataflow, Cloud Storage, Dataflow
• Develop batch and real-time data processing solutions.
• Implement data models, data quality checks, and governance frameworks.
• Optimize SQL queries and pipeline performance for large-scale datasets.
• Collaborate with business stakeholders, architects, and analytics teams.
• Migrate on-premises data platforms to GCP cloud environments.
• Ensure security, scalability, monitoring, and reliability of data platforms.
• Support CI/CD implementation and DevOps practices for data engineering.
• Mentor junior developers and participate in code reviews.
• Strong communication and stakeholder management.
• Problem-solving and analytical thinking.
• Ability to work in fast-paced consulting environments.
• Team collaboration and leadership capabilities.

Preferred Qualifications

• Education - B. tech / BE in Computer Science or Information Technology.

Success Metrics

• 3–12 years of overall IT experience.
• Minimum 3+ years in GCP Data Engineering projects.
• Strong experience in Google Cloud Platform (GCP).
• Hands-on expertise with: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer / Airflow.
• Strong SQL and Python programming skills.
• Experience with Spark, Hadoop, or distributed data processing frameworks.
• Knowledge of ETL/ELT tools and data warehousing concepts.
• Experience with Git, CI/CD pipelines, and Agile methodologies.
• Understanding of data governance and security best practices.
• Experience with Terraform or Infrastructure as Code.
• Exposure to Kubernetes/Docker.
• Knowledge of BI tools like Tableau, Power BI, or Looker.
• GCP certifications preferred: Professional Data Engineer, Associate Cloud Engineer.