Google Cloud Platform Data Engineer

10+ years of experience in data engineeringExperience with Google Cloud Platform (Google Cloud Platform), including Compute Engine, Cloud Storage, IAM, and Cloud FunctionsExperience with big data technologies such as Apache Spark, Dataflow, or BigQueryExperience designing and maintaining data warehouse solutionsExperience developing or integrating Artificial Intelligence and expert systemsExperience designing and working with APIs (RESTful or gRPC)Bachelors Degree

Role: Data Engineer Location: Dearborn, MI(Onsite) Employment Type: Full-Time Job Summary: We are looking for an experienced Data Engineer with strong expertise in Google Cloud Platform (Google Cloud Platform) to design, develop, and maintain scalable data solutions. The ideal candidate will be responsible for building reliable data pipelines, managing modern data platforms, and supporting large-scale data processing and analytics initiatives. Key Responsibilities: Collaborate with business and

Job Title: Google Cloud Platform Data Engineer Overview We are seeking a hands-on Google Cloud Platform Data Engineer to support the design, development, and maintenance of cloud-based data pipelines and data solutions. This role will focus on building reliable data ingestion and transformation processes, supporting analytics use cases, and improving the performance, quality, and efficiency of data workflows in Google Cloud Platform. Key Responsibilities Design, develop, and maintain data pipel

6+ years of professional experience with a Bachelors degree.Experience in data engineering, data product development, and software product launches.Proficiency in at least three of the following: Java, Python, Spark, Scala, SQL.3+ years of cloud data/software engineering experience building scalable batch and streaming data pipelines.Experience with cloud data warehouses such as Google BigQuery, Amazon Redshift, or Azure Synapse Analytics.Experience with workflow orchestration tools such as Airf