Snowflake Datastage Engineer - Mortgage Industry
Summary: The Snowflake Datastage Engineer role focuses on designing and constructing scalable data management systems within the mortgage industry. The position requires expertise in Snowflake, Business Intelligence, and Data Engineering, along with a strong understanding of data mining practices and algorithms. The engineer will collaborate with various teams to ensure systems meet business requirements and explore new data acquisition methods. This role is essential for enhancing data reliability and quality through innovative solutions and technologies.
Key Responsibilities:
- Design, construct, install, test and maintain data management systems.
- Build high-performance algorithms, predictive models, and prototypes.
- Ensure that all systems meet the business/company requirements as well as industry practices.
- Integrate up-and-coming data management and software engineering technologies into existing data structures.
- Develop set processes for data mining, data modeling, and data production.
- Create custom software components and analytics applications.
- Research new uses for existing data.
- Employ an array of technological languages and tools to connect systems together.
- Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project’s goals.
- Install/update disaster recovery procedures.
- Recommend different ways to constantly improve data reliability and quality.
Key Skills:
- 4+ years of Snowflake experience.
- Business Intelligence and Data Engineering expertise.
- Data Build Tool (DBT) for Development & Maintenance of Data Models.
- DataStage experience.
- Technical Degree or related work experience.
- Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.).
- Experience programming and/or architecting a back end language (Java, J2EE, etc.).
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Must Have:
4+ years of Snowflake
Business Intelligence - Data Engineering
Data Build Tool (DBT) for Development & Maintenance of Data Models
DataStage
Nice To Have:
Encompass
Home Equity Line of Credit (HELOC)
Mortgage Lending
SAFe Agile
Job Summary:
Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used.
Primary Responsibilities:
Design, construct, install, test and maintain data management systems.
Build high-performance algorithms, predictive models, and prototypes.
Ensure that all systems meet the business/company requirements as well as industry practices.
Integrate up-and-coming data management and software engineering technologies into existing data structures.
Develop set processes for data mining, data modeling, and data production.
Create custom software components and analytics applications.
Research new uses for existing data.
Employ an array of technological languages and tools to connect systems together.
Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project s goals.
Install/update disaster recovery procedures.
Recommend different ways to constantly improve data reliability and quality.
Qualifications:
Technical Degree or related work experience
Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)
Experience programming and/or architecting a back end language (Java, J2EE, etc)
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