GCP Data Engineer

Title: GCP Data Engineer Location: NJ Duration: Long-Term Job SummaryWe are seeking a skilled GCP Data Engineer to join our dynamic data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data warehouses utilizing cloud-based technologies. This role involves working with big data tools, implementing ETL processes, and collaborating with cross-functional teams to enable data-driven decision-making. The position offers an exciting opportunity to work with cutting-edge cloud platforms such as Google Cloud Platform (GCP), AWS, Azure Data Lake, and related technologies to support enterprise analytics and modeling initiatives. Responsibilities Design, develop, and optimize scalable data pipelines using GCP, AWS, and Azure Data Lake services. Build and maintain robust data warehouses utilizing SQL, Oracle, Microsoft SQL Server, and Hadoop ecosystems including Apache Hive and Spark. Develop ETL workflows using tools like Talend, Informatica, and custom scripting in Python, Bash (Unix shell), and Shell Scripting. Integrate Linked Data sources and implement RESTful APIs for seamless data access across platforms. Collaborate with data scientists on model training and analysis skills to facilitate advanced analytics projects. Ensure data quality, consistency, and security across all platforms while adhering to best practices in database design. Participate in Agile development cycles to deliver iterative improvements on data solutions. Monitor system performance and troubleshoot issues related to data processing pipelines. Document technical specifications and provide ongoing support for deployed solutions. Skills Strong experience with cloud platforms including GCP, AWS, and Azure Data Lake. Proficiency in programming languages such as Java, Python, VBA, Bash (Unix shell), and Shell Scripting. Extensive knowledge of Big Data tools including Hadoop ecosystem (Hadoop, Spark) and Apache Hive. Expertise in ETL processes using Talend, Informatica, or similar tools. Solid understanding of SQL databases such as Microsoft SQL Server, Oracle, and Data Warehouse architectures. Familiarity with Looker for data visualization and analytics reporting. Experience with Linked Data concepts and RESTful API integration. Knowledge of Model Training techniques for predictive analytics. Strong analysis skills combined with database design expertise to optimize data flow architecture. Ability to work within Agile teams in a fast-paced environment while managing multiple priorities. This role offers an engaging environment where innovative thinking is valued alongside technical expertise in cloud-based big data solutions. The successful candidate will be instrumental in transforming complex datasets into actionable insights that drive strategic business decisions. Job Type: Contract Pay: $25.73 - $30.98 per hour Work Location: In person