| Data Engineer with mortgage banking exp. at Remote, Remote, USA |
| Email: [email protected] |
| From: Priyanka, STELLENT IT [email protected] Reply to: [email protected] Data Engineer Cincinnati, Ohio (Onsite/ Remote) Contract Exp;12+ Data Engineer: Snowflake, Kafka, AWS stack, AWS (solution associate certification or architect), SQL JOB DESCRIPTION: CBTS is seeking a skilled Data Engineer with a strong background in mortgage banking to join our IT team. The candidate will be instrumental in constructing, testing, and maintaining our mortgage banking data architecture. This includes optimizing data flow and collection to ultimately support data analysis and decision-making processes. Responsibilities: Design, construct, install, test, and maintain highly scalable data management systems. Ensure systems meet business requirements and industry practices for mortgage banking. Build high-performance algorithms, prototypes, predictive models, and proof of concepts. Translate complex functional and technical requirements into detailed architecture, design, and high-performing software. Integrate new data management technologies and software engineering tools into existing structures. Create data tools for analytics and line of business that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Maintain a secure and compliant data processing environment in line with industry regulations. Requirements: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer, preferably in the mortgage banking industry. Strong knowledge of data warehousing solutions and relational SQL and NoSQL databases, Snowflake, MS SQL Server a plus Experience with AWS cloud services: EC2, RDS, MSK, Lambda Experience with object-oriented/object function scripting languages a plus Solid analytical skills and the ability to understand complex business requirements. Familiarity with data pipeline and workflow management tools: dbt, Apache Kafka, Snowflake data pipeline/streams Knowledge of financial and mortgage banking principles. Strong organizational and interpersonal skills, with the ability to manage tasks and timelines effectively. Keywords: information technology microsoft |
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| Thu Nov 16 02:28:00 UTC 2023 |