GCP Python Data Engineer

GCP Python Data Engineer Job Location: Charlotte, NC or Irvine, TX or Edison, NJ or Phoenix, AZ Required Skills & Experience 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 architectures 5+ 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) Key Responsibilities Data 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 sources Data 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 queries Development & Automation Develop reusable and scalable solutions using Python Automate workflows and orchestration using Cloud Composer (Airflow) Implement CI/CD pipelines and deployment automation Collaboration & 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 performance Benefits Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups and other benefits as provided by local policy and eligibility Paid time off based on employee grade (A-F): Vacation 12-25 days, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Compensation The base compensation range for this role in the posted location is: $80,420 to $106,050. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. Equal Opportunity Employer Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity or expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. J-18808-Ljbffr