Google Cloud Platform Data Engineer

Job Title: Google Cloud Platform Lead Data Engineer Location: Irving, TX (5 days onsite - in-person interview required) Duration: 12+ months Tax Term: W2 Only Interview Requirement: Glider technical assessment + onsite interview Role Overview We are seeking a Senior / Lead Data Engineer with strong hands-on technical depth, data architecture and design experience, and proven technical leadership skills. This role will play a key part in modernizing the enterprise data platform, leading comp

Job Description: Summary: We are hiring a Senior Data Engineer with cloud migration experience and Big Data tools. Key Responsibilities: Design and develop ETL/ELT workflows and data pipelines for batch and real-time processing.Build and maintain data pipelines for reporting and downstream applications using open-source frameworks and cloud technologies.Implement operational and analytical data stores leveraging Delta Lake and modern database concepts.Optimize data structures for performance and

Job Summary We are seeking a skilled Data Engineer with strong experience in Google Cloud Platform (Google Cloud Platform) to design, develop, and optimize scalable data pipelines. The ideal candidate will have hands-on experience in data ingestion, transformation, and processing using BigQuery, Cloud Composer, and Dataflow. Key Responsibilities Design and implement scalable data ingestion and transformation pipelinesDevelop and optimize ETL/ELT workflows on Google Cloud PlatformBuild and manage

Experience as a big data engineerIn-depth knowledge of Hadoop, Pyspark, Python, SQL and similar frameworks.Good in ETL / ELT tools.Good in AWS Glue , Snowflake.Good in DevOps CI/CD, Scheduling, and automations.Excellent project management skills and good communication skills.Ability to solve complex networking, data, and software issues.Banking Experience is Plus