GCP Python Lead Data Engineer

Position Title : GCP Python Lead Data Engineer Location : Charlotte, NC/ New York City, NYC (Onsite/Hybrid) Experience : 8+ Years Employee Type : Full Time with Benefits Note :- In Person Interview Job DescriptionWe are seeking a highly skilled GCP Data Engineer with strong Python expertise to design, build, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience developing batch and real-time data pipelines, working with large-scale datasets, and enabling analytics and AI/ML use cases.Key ResponsibilitiesData Engineering & Pipeline Development• Design, build, and maintain scalable batch and real-time data pipelines using GCP services such as Dataflow, Dataproc, and Pub/Sub• Develop and optimize ETL/ELT workflows for structured and unstructured data processing• Implement event-driven data processing using Cloud Functions and Pub/Sub• Build and manage data ingestion frameworks for streaming and batch data sourcesData Storage & Processing• Design and optimize data lakes and data warehouses using BigQuery and Cloud Storage• Develop efficient data models to support analytics, reporting, and machine learning workloads• Optimize performance and cost of data pipelines and queriesDevelopment & Automation• Develop reusable and scalable solutions using Python• Automate workflows and orchestration using Cloud Composer (Airflow)• Implement CI/CD pipelines and deployment automationCollaboration & Support• Collaborate with analytics, AI/ML, and business teams for data consumption needs• Troubleshoot data issues and perform root cause analysis• Continuously improve pipeline reliability, scalability, and performanceRequired Technical Skills• GCP Services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Functions (Gen2), Cloud Composer (Airflow), Cloud Storage, Cloud SQL• Programming: Python (advanced)• Query Language: SQL (advanced)• Data Processing: Batch & Streaming architectures• Scripting: Bash/Shell scripting• Concepts: Data Warehousing, ETL/ELT, Data Lake / Lakehouse architecturesRequired Experience• 8+ years of overall data engineering or software engineering experience• 3+ years of hands-on Google Cloud Platform experience• 3+ years of Python development• 3+ years of experience building data pipelines (batch and streaming)Preferred Qualifications• Experience with Dataproc (Spark/PySpark) for large-scale processing• Familiarity with event-driven architectures• Knowledge of Terraform or Infrastructure as Code• Understanding of cost optimization (FinOps)Nice to Have• Google Cloud Professional Data Engineer Certification• Experience supporting AI/ML data pipelinesIf your Interested, Kindly, share us your resume on abuzar.umar@capgemini.comLife At CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefDisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law