IN_Senior Associate_GCP Data Engineer_D&A_Advisory_PAN India

Job Description & Summary: PwC India is seeking a proficient GCP Data Engineer with hands-on experience in designing, developing, and maintaining scalable data platforms and data engineering solutions on Google Cloud Platform (GCP) . This role involves working with enterprise-scale data ecosystems to enable advanced analytics, data warehousing, data transformation, and cloud modernization initiatives. The candidate will work closely with business stakeholders, architects, and analytics teams to deliver high-quality data solutions that drive business intelligence and data-driven decision-making. Job Position Title: IN_Senior Associate_GCP Data Engineer_D&A_Advisory_PAN India Responsibilities: Design, develop, and optimize scalable batch and real-time data pipelines using Google Cloud Platform services such as Dataflow, Dataproc, Pub/Sub, and BigQuery. Develop and implement cloud-native ETL/ELT frameworks for ingesting, transforming, and processing large volumes of structured and unstructured data. Architect and support enterprise data warehousing solutions using BigQuery, ensuring performance optimization, scalability, security, and cost efficiency. Collaborate with business analysts, data scientists, solution architects, and stakeholders to understand business requirements and translate them into robust data solutions. Build and maintain automated data ingestion frameworks from multiple source systems including databases, APIs, files, and streaming platforms. Develop and manage orchestration workflows using Cloud Composer (Apache Airflow) or other scheduling tools. Monitor, troubleshoot, and optimize data pipelines to ensure high availability, reliability, data quality, and operational efficiency. Implement data governance, metadata management, lineage tracking, and security best practices using GCP-native capabilities. Leverage Google Cloud Storage (GCS), BigQuery, Dataproc, Pub/Sub, and Dataflow to build modern cloud data platforms. Develop reusable data engineering frameworks and accelerate cloud migration and modernization initiatives. Document technical designs, data architecture diagrams, operational procedures, and implementation best practices. Stay updated on emerging GCP technologies and recommend innovative solutions to improve data engineering capabilities. Mandatory Skill Sets: Hands-on experience with Google Cloud Platform (GCP) data engineering services including BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Cloud Composer. Strong expertise in BigQuery data warehousing, including query optimization, partitioning, clustering, security, and performance tuning. Experience building scalable ETL/ELT pipelines using Dataflow (Apache Beam) and other GCP-native data integration services. Strong proficiency in SQL and Python for data transformation, automation, and pipeline development. Hands-on experience with cloud-based data lake and modern data platform architectures. Strong understanding of data modeling concepts, dimensional modeling, data warehousing principles, and ETL/ELT best practices. Experience with workflow orchestration tools such as Cloud Composer (Apache Airflow). Knowledge of CI/CD practices, source code management, and deployment automation. Understanding of data security, governance, compliance, and access management within GCP environments. Strong analytical, problem-solving, and stakeholder management skills. Preferred Skill Sets: Google Cloud Professional Data Engineer Certification. Experience with Spark, Hadoop, Databricks, or other Big Data processing frameworks. Hands-on experience with real-time streaming architectures using Pub/Sub, Kafka, or similar technologies. Exposure to containerization and orchestration technologies such as Docker, Kubernetes, and Google Kubernetes Engine (GKE). Experience with Infrastructure as Code (IaC) tools such as Terraform for GCP resource provisioning and management. Working knowledge of DevOps and DataOps practices for enterprise-scale implementations. Experience integrating BigQuery with reporting and visualization platforms such as Power BI, Tableau, or Looker. Knowledge of Snowflake on GCP and cloud migration strategies. Prior consulting or client-facing experience in domains such as Financial Services, Retail, Healthcare, Manufacturing, or Technology. Years of Experience Required: 4-7 Years Education Qualification: BE / <B.Tech> / MCA / MBA / <M.Tech>