(Perm) Data Engineer

Responsibilities: Creating and maintaining an optimal pipeline architecture for data warehouse and reports. Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Building required infrastructure for optimal extraction, transformation, and loading of data from various data sources including internal application data using SQL technologies. Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition. Working with stakeholders including the Executive, Product, Data, and Design teams to support data infrastructure needs while assisting with data-related technical issues. Qualifications: A Bachelors degree in Computer Science, Computer Engineering, or a related field. Proficiency in programming languages (e.g., Python, NodeJS). Experience with big data technologies such as Hadoop, Spark, and Kafka. Knowledge of database management systems, both relational (e.g., SQL, PostgreSQL) and non-relational (e.g., MongoDB). Familiarity with data integration and ETL tools. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities.