Join Deloitte's Technology & Transformation practice as a GCP Data Engineer. This role focuses on designing, developing, and optimizing scalable cloud-based data solutions using Google Cloud Platform (GCP). You will collaborate with cross-functional teams to build modern data pipelines, data lakes, and analytics platforms, driving enterprise digital transformation initiatives. This is an opportunity to work with cutting-edge technologies and make a significant impact on data-driven decision-making.

Design and develop robust ETL/ELT pipelines on GCP, building and maintaining cloud-native data architectures with services like BigQuery, Dataproc, Pub/Sub, Composer, Dataflow, and Cloud Storage. Develop batch and real-time data processing solutions, implement data models, quality checks, and governance frameworks. Optimize SQL queries and pipeline performance for large-scale datasets, and collaborate effectively with business stakeholders, architects, and analytics teams. You will also be involved in migrating on-premises data platforms to GCP, ensuring the security, scalability, monitoring, and reliability of data platforms, and supporting CI/CD and DevOps practices. Mentoring junior developers and participating in code reviews are also key aspects of this role.

We are seeking an experienced GCP Data Engineer with 5–8 years of overall IT experience, including a minimum of 3+ years specifically in GCP Data Engineering projects. Essential technical skills include strong experience with Google Cloud Platform (GCP), hands-on expertise with BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer/Airflow. Proficiency in SQL and Python programming is crucial. Experience with Spark, Hadoop, or other distributed data processing frameworks is highly valued, as is knowledge of ETL/ELT tools and data warehousing concepts. Familiarity with Git, CI/CD pipelines, and Agile methodologies is expected. A solid understanding of data governance and security best practices is required. Experience with Terraform or Infrastructure as Code, and exposure to Kubernetes/Docker are advantageous. Knowledge of BI tools like Tableau, Power BI, or Looker is a plus. A B.Tech or BE in Computer Science or Information Technology is preferred. Strong communication, stakeholder management, problem-solving, and analytical thinking abilities are essential for success in this fast-paced consulting environment.