Join our Technology & Transformation practice as a Senior Consultant specializing in GCP, focusing on Data Modernization & Migration. You will leverage your expertise to help companies unlock the full potential of their data, transforming it into actionable insights.

This role involves guiding strategic initiatives and implementing solutions for managing diverse data sources, driving fact-based decision-making, and establishing an insight-driven advantage. We focus on business intelligence, data management, performance management, and advanced technologies like big data and cloud analytics.

Design and develop robust, scalable ETL/ELT data pipelines utilizing Spark, Scala, Hive, and SQL on the Google Cloud Platform (GCP). Build advanced data warehouse solutions and optimize Big Data workloads for peak performance. Implement efficient CI/CD pipelines and provide essential support for analytics and reporting needs, including the use of Power BI.

Your contributions will be key in ensuring the delivery of high-quality, reliable data solutions. You'll maintain efficient pipelines, optimize workloads, guarantee data accuracy, automate deployments, and support reporting requirements, all while meeting project timelines and ensuring operational stability.

A strong background in Google Cloud Platform (GCP), Apache Spark, Scala, Hive, and SQL is essential for designing and developing scalable ETL/ELT data pipelines, data warehousing, and data integration solutions. Proven hands-on experience with Big Data processing, performance tuning, and optimizing Spark and Hive workloads is required.

Proficiency in RDBMS, cloud-based data platforms, and implementing CI/CD pipelines using Jenkins, Maven, and Git is necessary. While knowledge of Power BI, data quality management, monitoring, troubleshooting, and enterprise-scale data engineering best practices is highly preferred, your ability to deliver high-quality, scalable, and reliable data solutions on GCP will be paramount.