IN_ Senior Associate_GCP Engineer_ Advisory_PAN India

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. Job Position Title: IN_ Senior Associate_GCP Engineer_ Advisory_PAN India Responsibilities: · 5+ years of experience in Data Engineering with strong hands-on experience on Google Cloud Platform (GCP). · Strong expertise in BigQuery, including data modeling, optimization, partitioning, clustering, and performance tuning. · Hands-on experience with GCP Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Composer and related data services. · Experience with Vertex AI for machine learning model development and deployment, as well as Generative AI applications. · Strong proficiency in SQL and Python for data processing and pipeline development. · Experience designing and developing ETL/ELT data pipelines for batch and real-time data processing. · Strong understanding of data warehousing, dimensional modeling, data integration, and data quality. · Experience with Apache Spark/PySpark and distributed data processing. · Hands-on experience with CI/CD, Git, DevOps practices, and deployment automation for data pipelines. · Understanding of GCP IAM, security, networking, and data governance principles. · Ability to troubleshoot, optimize, and support production-grade data pipelines. · Good to Have · Hands-on experience with AWS Data Engineering services such as S3, Glue, Redshift, EMR, Lambda, Kinesis, and Athena. · Experience working in multi-cloud or hybrid-cloud data platforms. · Knowledge of Terraform / Infrastructure as Code and cloud automation. · Experience with Databricks, Snowflake or other modern data platforms. · Exposure to streaming technologies such as Kafka. · Experience implementing data governance, cataloging, lineage, and data quality frameworks. · Exposure to AI/ML data pipelines and cloud-based analytics platforms. · Relevant GCP or AWS certifications. Mandatory skill sets: GCP/Python/Pyspark Preferred skill sets: GCP/Python/Pyspark Years of experience required: 4-8Years Education qualification: B.E/B.Tech/MBA/M.E/M.Tech