GCP Data Engineer

Job Title: GCP Data Engineer Tax Term: W2/1099 Location: Hartford-CT - Hybrid Employment Type: Contract Duration: 12+ About Us ConglomerateIT is a certified and a pioneer in providing premium end-to-end Global Workforce Solutions and IT Services to diverse clients across various domains. Visit us at http://www.conglomerateit.com Our mission is to establish global cross culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of global network to connect business with the right people without bias. We provide Global Workforce Solutions with affability. Job Summary: We are seeking a skilled GCP Data Engineer with expertise in streaming and batch pipelines, large-scale data processing, and real-time decision-making on GCP. Key Responsibilities: • Develop and implement scalable data pipelines on GCP utilizing BigQuery, Dataproc, Pub/Sub or Kafka, and Dataflow. • Design and build pipelines to process extensive datasets using PySpark. • Possess at least 4+ years of hands-on experience with Python or any scripting language and SQL. • Drive data pipeline strategy, mentor junior engineers, and ensure best practices through code reviews. • Requirements: • Bachelor’s degree in Computer Science, Information Technology, or equivalent professional experience. • Minimum of 7 years in IT, with at least 4 years dedicated to building scalable data pipelines on GCP. • Proficiency in scripting languages such as Python or Unix. • Strong analytical and problem-solving skills with keen attention to detail. • Solid experience in the Banking & Financial Services domain. Preferred Qualifications: • Google Cloud Professional Data Engineer certification. • Experience working in multi-cloud environments. • Familiarity with CI/CD tools like Cloud Build, Jenkins, and GitHub Actions.