GCP Data Engineer

Role: GCP Data Engineer Location: Cleveland, OH 44114 or Buffalo, NY (100% Onsite) Experience Level: 9+ years Contract What we ask for: We are seeking a highly motivated and skilled Data Engineer with strong background in data architecture, ETL processes, and data warehousing. As a Data Engineer, you will play a critical role in designing, developing, and maintaining our data pipelines, ensuring the availability of high-quality and reliable data for analytics and reporting. Responsibilities: • Design, implement, and maintain scalable ETL pipelines to extract, transform, and load data from various sources into our data warehouse. • Strong experience in GCP platform engineering • Develop efficient and robust data integration processes that ensure data accuracy, consistency, and reliability. • Perform data profiling and analysis to identify data quality issues and implement corrective measures. • Optimize data pipelines for performance, scalability, and efficiency, considering data volume and query complexity. • Implement data security and access controls to ensure data privacy and compliance with regulations. • Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner. • Collaborate with the DevOps team to deploy and manage data engineering solutions in a cloud-based environment. • Document data engineering processes, data flow diagrams, and technical specifications. • Stay current with industry trends, best practices, and emerging technologies in data engineering and analytics. Qualification: • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. • Strong programming skills in languages such as Python or Java, Spark and SQL. • Proven experience as a Data Engineer or similar role, with a track record of designing and implementing data pipelines. • Proficiency in SQL for data profiling. • Proficiency in ETL tools and frameworks (e.g., Apache Spark, Flink, Airflow) • Familiarity with data warehousing concepts, dimensional modeling, and database design principles. • Experience with Google Cloud (GCP) Platform Engineering. • Understanding of Big Data technologies and distributed computing concepts. • Strong problem-solving skills and attention to detail. • Excellent communication and collaboration skills. • Ability to work in an agile and fast-paced environment.