Senior GCP Data Engineer: Batch & Streaming Pipelines

Capgemini; Dallas (TX); Híbrido; USD 110.000 - 120.000; Jornada completa

Descripción de la vacante

Capgemini is seeking an experienced Data Engineer to build and optimize data pipelines on Google Cloud Platform. You will lead both batch and streaming workloads, collaborate with architects and business teams, and mentor engineering staff in a fast-paced, scalable data environment.

The role requires hands-on experience with Python, SQL, Spark, and GCP services such as BigQuery, Dataflow and Airflow. Onsite/Hybrid work in Dallas and Charlotte is offered with competitive compensation.

Formación

• 5+ years in data engineering with strong GCP exposure.
• Proficient in Python, SQL, Spark/PySpark, and UNIX/Linux.
• Experience with data warehouses, data lakes and batch/streaming pipelines.

Responsabilidades

• Design, develop and support scalable data pipelines and platforms on GCP.
• Lead batch and streaming data solutions and drive cloud modernization.
• Collaborate with architects and stakeholders; mentor teams.

Educación

Google Cloud Professional Data Engineer Certification

Herramientas

Airflow Composer

Autosys

GitHub Actions

Harness

OpenShift Container Platform

Descripción del empleo

Capgemini is seeking an experienced Data Engineer to build and optimize data pipelines on Google Cloud Platform. You will lead both batch and streaming workloads, collaborate with architects and business teams, and mentor engineering staff in a fast-paced, scalable data environment.

The role requires hands-on experience with Python, SQL, Spark, and GCP services such as BigQuery, Dataflow and Airflow. Onsite/Hybrid work in Dallas and Charlotte is offered with competitive compensation.