Data Engineer

Glint Tech Solutions LLC is seeking a practical Data Engineer for its Total Fund Management Portfolio Management Technology team. Day to day, the role centers on creating and improving cloud-based data pipelines and systems that can handle very large volumes of information. The work includes using Spark and PySpark to process data, working with Parquet and Iceberg storage, and turning business needs into reliable technical solutions. It also involves keeping systems efficient and dependable, while contributing to monitoring, documentation, and deployment tasks. The advert names Python, PySpark, Apache Spark, Databricks, and experience with large-scale data platforms as key requirements. It also lists AWS Glue, Lake Formation, Airflow, distributed data design, and capital markets knowledge as helpful but not essential. The role calls for a background in client-facing delivery and the ability to solve problems independently when situations are not clearly defined. No language requirements are mentioned. The position is remote and full time, and it appears suited to someone comfortable working hands-on in complex cloud data environments.