Title: Senior GCP Data Engineer Location: Onsite in Manhattan, NY Duration: 12 Months (with strong possibility for renewal) Visa : USC OR GC Key Responsibilities Design, build, and optimize end-to-end data pipelines using GCP-native services such as Dataflow, Dataproc, and Pub/Sub. Implement data ingestion, transformation, and processing workflows using Apache Beam, Apache Spark, and scripting in Python. Manage and optimize data storage using BigQuery, Cloud Storage, and Cloud SQL to ensure performance, scalability, and cost-efficiency. Enforce enterprise-grade data security and access controls using GCP IAM and Cloud Security Command Center. Monitor and troubleshoot data pipelines using Stackdriver and Cloud Monitoring to ensure high availability and low latency. Collaborate closely with analysts, data scientists, and cross-functional product teams to understand business needs and deliver robust data solutions. Required Skills and Qualifications 12+ years of overall IT experience, with deep specialization in data engineering. 8+ years of hands-on experience designing, building, and maintaining data pipelines in enterprise environments. 5+ years of recent experience working with Google Cloud Platform (GCP)-specifically within a major U.S. bank or brokerage firm (required, no exceptions). Strong expertise in: GCP services: Dataflow, Dataproc, Pub/Sub, BigQuery, Cloud Storage, Cloud SQL. Data processing frameworks: Apache Beam and Apache Spark. Scripting and automation: Advanced proficiency in Python and SQL for data manipulation, transformation, and querying. Proven experience implementing GCP IAM policies and managing data access/security at scale. Demonstrated ability to ensure low-latency, high-throughput data systems through performance tuning and best practices. Deep understanding of data compression, storage optimization, and cost-effective cloud design. Tech Tammina
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