Sr Data Engineer

Job Summary Job Summary - Data Engineer: We are seeking a skilled mid-level+ Data Engineer to join our team and focus on quality assurance, quality checking, and ETL processes. The successful candidate will be responsible for ensuring the integrity and accuracy of data transferred from a shared file transfer service to an S3 bucket and subsequently into and through our Snowflake data platform. This data will be utilized by downstream applications and reporting systems. These applications and the corresponding consumed data are critical to business process execution. Key Responsibilities Implement and maintain data quality to ensure the accuracy and reliability of data throughout the ETL process. Design, develop, and optimize ETL workflows to efficiently transfer data from file transfer services to S3 buckets and Snowflake. Ensure seamless data integration into the data platform, enabling efficient consumption by downstream applications and reporting tools. Address data quality challenges, including inconsistencies in source data that do not meet ingestion requirements, which can lead to load failures or data backouts. Work closely with business owners, data analysts, business intelligence teams, and other stakeholders to understand data requirements and deliver high-quality data solutions. Monitor pipelines, identify issues, and implement solutions to preserve data flow and integrity. Qualifications Mid-level+ experience in data engineering, with a focus on data quality assurance and ETL processes. Expertise in Python, PyPI, and SQL. Expert analytical and problem-solving skills. Strong understanding of cybersecurity principles related to code development, DevOps, data access, and fundamental cybersecurity. Understanding of fundamental public-cloud capabilities. Proven capacity to comprehend business needs and convert them into technical requirements. Excellent communication and collaboration abilities. Proven capacity to define success, deliver, and operate in an agile setting. #J-18808-Ljbffr