Data Engineer L4 – Google Cloud Platform (GCP)

Job not on LinkedIn

🔥 3 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Runtalent

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2003

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Runtalent is a technology services company that specializes in the allocation of qualified professionals across various tech platforms for project needs. They focus on agile squads and managed services, ensuring operational efficiency and project success. With over 20 years in the market, Runtalent has established a strong talent pool and collaborates with multiple industries including finance, healthcare, and entertainment to provide tailored solutions for each client.

📋 Description

• Design, develop, and maintain scalable data pipelines and data integration processes • Build and optimize solutions using Google Cloud Platform (GCP) services • Develop and manage data models and large enterprise datasets • Create data processing, transformation, and delivery solutions for analytical consumption • Work on the implementation and evolution of ETL/ELT processes • Ensure data quality, consistency, security, and governance • Identify issues, perform root cause analysis, and optimize data processes • Support Analytics teams, Data Architecture, and business areas with reliable information • Collaborate with multidisciplinary and global teams in agile environments • Participate in continuous improvement, innovation, and evolution initiatives for the data platform

🎯 Requirements

• Proven experience as a Data Engineer in enterprise environments • Strong hands-on experience with Google Cloud Platform (GCP) • Advanced knowledge of Google BigQuery, Google Dataflow, and Looker • Strong expertise in advanced SQL, data modeling, data architecture, ETL/ELT processes, and data integration/transformation • Experience building and maintaining end-to-end data pipelines • Knowledge of Data Quality, Data Governance, data security, and modern data platforms • Experience working with agile methodologies • Advanced English for communication with international teams • Experience with Python or other languages used in data engineering is a plus • Knowledge of modern cloud data architectures is a plus • Experience with Databricks, Apache Spark, and Big Data technologies is a plus • Google Cloud (GCP) certifications will be considered a plus