Join Deloitte's Technology & Transformation practice as a GCP Data Engineer Manager and unlock the value within vast datasets. This role offers the opportunity to provide strategic guidance and implement data management solutions, transforming data from disparate sources into accurate, actionable information for informed decision-making. You will be at the forefront of next-generation analytics, including big data, cloud, cognitive, and machine learning technologies.

This is a leadership position focused on driving innovation and delivering impactful data engineering solutions.

As a Manager, you will architect and deploy robust data engineering solutions on Google Cloud Platform (GCP). Your responsibilities include leading enterprise-level ETL/ELT development, establishing efficient workflow orchestration, and creating sophisticated Python-based frameworks. You will also play a key role in optimizing data pipeline performance, collaborating closely with stakeholders to ensure project success, and actively mentoring junior members of the engineering team.

Drive solution design and technical delivery excellence.

A minimum of 8 years of extensive experience with Google Cloud Platform (GCP) is essential. You should possess deep expertise in BigQuery, Cloud Composer, and Dataproc, coupled with advanced Python programming skills. Strong proficiency in SQL and PL/SQL is required, alongside hands-on experience with Spark/PySpark. The ability to build scalable, high-performance data pipelines and strong analytical and troubleshooting capabilities are critical for this role.

Preferred qualifications include experience with Pub/Sub, Cloud Storage, Dataflow, Looker, CI/CD, and cloud optimization. A B.E./B.Tech/MCA/M.Tech/M.Sc. degree is required.