Briscent Global LLC is seeking a motivated Data Engineer to join our team. This role is ideal for candidates who enjoy working with data, building reliable data pipelines, and transforming raw information into structured datasets that support analytics and business decisions. Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT workflows. Collect, clean, transform, and validate data from multiple sources. Work with databases and data warehouses to organize and manage data efficiently. Develop SQL queries for data extraction, transformation, and analysis. Monitor data pipelines and troubleshoot data quality or processing issues. Collaborate with software engineers, analysts, and business teams. Document data processes, pipelines, and technical solutions. Support the development of dashboards, reporting systems, and analytics workflows. Required Skills Master's degree in Computer Science, Data Engineering, Information Technology, Engineering, or a related field. Strong understanding of SQL and relational databases. Basic knowledge of Python or another programming language. Understanding of ETL/ELT concepts and data pipeline development. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of data warehousing concepts is preferred. Strong analytical and problem-solving skills. Good communication and teamwork abilities. Preferred Skills Experience with Spark, Databricks, Airflow, Kafka, Snowflake, or BigQuery. Familiarity with cloud-based data engineering tools. Understanding of data modeling and database optimization. Internship, academic, or project experience in data engineering is a plus