Join our Technology & Transformation practice and unlock the full potential of your data. We empower companies to manage diverse data sources and transform them into actionable insights for informed decision-making. Our expertise spans business intelligence, data management, performance management, and cutting-edge analytics including big data, cloud, AI, and machine learning.

As a Senior Consultant specializing in GCP Data Engineering, you will be instrumental in designing and implementing robust data solutions. Your role will involve leading enterprise ETL/ELT processes, architecting workflow orchestration, and developing efficient Python frameworks. You will also play a key part in optimizing performance and guiding junior team members.

Design and implement scalable data engineering solutions on Google Cloud Platform (GCP). Lead enterprise ETL/ELT development and build robust workflow orchestration processes. Develop advanced Python-based frameworks for data processing. Collaborate effectively with stakeholders to understand and meet data requirements. Drive performance optimization for data pipelines and solutions. Mentor and guide junior engineers, fostering knowledge sharing within the team.

A minimum of 5 to 8 years of extensive experience with Google Cloud Platform (GCP) is essential. Demonstrate expertise in BigQuery, Cloud Composer, and Dataproc. Possess advanced Python programming skills and strong proficiency in SQL and PL/SQL. Showcase hands-on experience with Spark/PySpark for distributed data processing. Proven ability in building scalable, high-performance data pipelines. Exhibit strong analytical and troubleshooting capabilities to resolve complex data issues. Preferred experience includes Pub/Sub, Cloud Storage, Dataflow, Looker, CI/CD, and cloud optimization techniques.