Deloitte—T&T | EAID| Engineering | GCP Data Engineer | Consultant/ Senior Consultant/Manager| Bangalore

Job description

Description: The Team Deloitte’s Technology & Transformation 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 The GCP data engineer is responsible for managing client relationships and overseeing the successful delivery of programs or accounts. This role serves as the primary point of contact between the organization and its clients, ensuring alignment of goals, timelines, budgets, and expected outcomes while driving client satisfaction and business growth. Key Skills & Competencies Experience - 5–8 years of overall IT experience - Minimum 3+ years in GCP Data Engineering projects - Experience working in consulting or large-scale enterprise environments Technical Expertise - Strong hands-on experience with Google Cloud Platform (GCP) - Expertise in: - BigQuery - Dataflow - Dataproc - Pub/Sub - Cloud Composer (Airflow) - Strong programming skills: · Python · SQL - Experience with: - Spark, Hadoop, or distributed data processing frameworks - ETL/ELT frameworks and data warehousing concepts - Batch and real-time data processing - Familiarity with: - Git and version control systems - CI/CD pipelines - Agile development methodologies - Understanding of: - Data governance - Data security best practices Architecture & Engineering - Designing and building scalable ETL/ELT pipelines on GCP - Developing cloud-native data architectures using GCP services - Implementing data models, quality checks, and governance frameworks - Optimizing SQL queries and improving pipeline performance - Supporting on-premise to cloud data migration initiatives - Ensuring platform scalability, monitoring, and reliability Delivery & Collaboration - Collaborating with architects, analysts, and business stakeholders - Participating in agile delivery processes and sprint execution - Contributing to solution design and implementation - Supporting CI/CD and DevOps adoption in data engineering workflows Team Contribution - Mentoring junior developers and supporting team capability building - Participating in code reviews and enforcing best practices - Contributing to knowledge sharing and engineering standards Preferred Skills - Experience with Terraform or Infrastructure as Code - Exposure to Kubernetes and Docker - Knowledge of BI tools (Tableau, Power BI, Looker) - GCP certifications: - Professional Data Engineer - Associate Cloud Engineer Preferred Qualifications Education – B.Tech / BE or equivalent Success Metrics - Delivery of scalable and optimized GCP data solutions - Efficient and reliable data pipelines and platforms - Strong collaboration with stakeholders and teams - Adherence to best practices in engineering, governance, and security