Deloitte—Technology and Transformation - Engineering - Senior Consultant - GCP Data Engineer - Pune

Job description

Description: Technology and Transformation - Engineering - Senior Consultant - GCP Data Engineer - Pune • Job requisition ID : 110073 • Location: Bengaluru • Entity: Deloitte Touche Tohmatsu India LLP 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 Senior Consultant, you will design and implement scalable data engineering solutions on GCP, lead enterprise ETL/ELT development, build workflow orchestration processes, develop Python-based frameworks, collaborate with stakeholders, drive performance optimization, and mentor junior team members. Key Skills & Competencies - 5 to 8 Years of Strong experience with Google Cloud Platform (GCP) - 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 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/Bangalore/Hyderabad. Hybrid working model.