Join a leading technology consulting practice focused on unlocking the value within vast amounts of data through strategic guidance and implementation services. We help companies manage data from diverse sources, transforming it into actionable insights for fact-driven decision-making. Our expertise spans business intelligence, data management, performance management, and cutting-edge analytics, including big data, cloud, and machine learning.

This role offers an exciting opportunity to design, develop, and support data engineering solutions on Google Cloud Platform (GCP). You'll collaborate closely with stakeholders, architects, and delivery teams to build robust data pipelines, optimize workflows, and ensure successful project outcomes in a dynamic consulting environment.

Key responsibilities include architecting and maintaining scalable ETL/ELT pipelines on GCP, developing data ingestion and transformation solutions using GCP services, and migrating data workloads from on-premises or legacy systems to the cloud. You will implement data quality validation and monitoring mechanisms, create comprehensive technical documentation, and actively troubleshoot pipeline failures and performance issues.

Further, you will contribute to the implementation of secure and scalable cloud data architectures, work collaboratively with stakeholders to define business and technical requirements, and actively participate in agile ceremonies, sprint planning, and delivery activities.

We are seeking a GCP Data Engineer Consultant with 3-5 years of IT experience, including a minimum of 2 years of hands-on GCP Data Engineering project experience. Proficiency in Python and SQL is essential, along with experience in building ETL/ELT pipelines using cloud-native services, batch and streaming data processing concepts, and data warehousing principles.

Technical expertise should encompass GCP services like BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Cloud Composer (Airflow). Familiarity with Spark, distributed data processing, Git-based source control, CI/CD tools, and Agile/Scrum methodologies is expected. A basic understanding of data governance, security, and quality best practices is also required. A Bachelor's degree in B.Tech or BE (or equivalent) is preferred.