T&T- Engineering - Senior Consultant - GCP Data Engineer - Pune

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

As a Consultant/Senior Consultant, we are seeking a highly skilled Data Engineer with 5-8 years of experience in designing, developing, and maintaining scalable data solutions. The ideal candidate should possess strong hands-on expertise in Google Cloud Platform (GCP), SQL, and Python, along with experience working within the Banking or Financial Services domain. The role involves building robust data pipelines, transforming and integrating enterprise data, and supporting analytics and reporting initiatives. 

Key Skills & Competencies

• 5 to 8 Years of Strong experience with Google Cloud Platform (GCP)
• Mandatory experience in Banking / Financial Services domain.
• Understanding of banking data, transaction processing, customer data, risk, compliance, regulatory reporting, or related areas.
• Expertise in BigQuery, Cloud Composer and Dataproc
• Advanced Python programming skills
• Strong SQL and PL/SQL experience
• Hands-on Spark/PySpark expertise
• Experience building scalable high-performance data pipelines
• Strong analytical and troubleshooting capabilities
• Preferred: Pub/Sub, Cloud Storage, Dataflow, Looker, CI/CD and cloud optimization
• Good understanding of data warehousing and dimensional data modeling concepts.
• Experience working with large-scale datasets and distributed data processing frameworks.
• Knowledge of version control tools such as Git.

Preferred Qualifications

Education: B.E./B.Tech/MCA/M.Tech/M.Sc.

Experience: 5–8 years in GCP Data Engineering.

Success Metrics          

• Leadership in solution design and technical delivery
• Scalable and reliable data pipeline implementation
• Strong stakeholder collaboration
• High-quality project outcomes within timelines
• Knowledge sharing and team mentoring

Location and Way of Working

Base Location: Pune . Hybrid working model.