Join our Technology and Transformation practice as a Consultant, focusing on Engineering and GCP Data. You'll be instrumental in designing, developing, and maintaining cutting-edge, cloud-native data engineering solutions on the Google Cloud Platform (GCP).

Deloitte's Technology & Transformation team empowers companies to harness the full potential of their data. We provide strategic guidance and implementation services to manage diverse data sources, transforming them into accurate, actionable insights. Our work spans business intelligence, data management, performance management, and advanced analytics, including big data, cloud, cognitive computing, and machine learning.

As a Consultant, you will architect, build, and sustain cloud-native data engineering solutions using Google Cloud Platform (GCP). This involves developing and optimizing ETL/ELT pipelines with tools like BigQuery, Dataproc, and PySpark, alongside creating automation scripts in Python. You'll manage workflow orchestration via Cloud Composer and write efficient SQL and PL/SQL queries. Collaboration with cross-functional teams, troubleshooting data pipeline issues, ensuring data quality, and driving performance improvements are key aspects of this role.

We seek candidates with 3-5 years of hands-on experience in GCP Data Engineering. Essential skills include proficiency in BigQuery, Dataproc, PySpark, Python, Cloud Composer, and SQL/PL/SQL. A solid understanding of ETL/ELT concepts, data warehousing, and data pipeline development using Spark is crucial. Strong analytical and problem-solving abilities are a must. Familiarity with Cloud Storage, Pub/Sub, data modeling, CI/CD, and Agile methodologies is preferred. A Bachelor's or Master's degree in a relevant field (B.E./B.Tech/MCA/M.Tech/M.Sc) is required.