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Data Engineer,
Cincinnati, Ohio(Onsite)
Phone + Skype
J.D:
Data Engineer for planning and developing a new core mortgage
servicing platform. loanserve; Moving to MSP - hosted mainframe solution (ICE mortgage
technology - FKA Black Knight)
Onsite preferred - however open to remote if the person is very disciplined and has
relevant experience with MSP and ICE
Prior mortgage experience will get immediate interviews please start here
API Gateway development
Creating a DW strategy
Domain to domain API developers
Leads/architects as well as engineers
If we find an architect or high dollar candidate the candidate should have experience
with MSP - conversion experience
Data Engineer: Snowflake, Kafka, AWS stack, AWS (solution associate certification or
architect), SQL
JOB DESCRIPTION:
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:
Bachelor's or Master's 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.
Vishal Puniya
IT Technical Recruiter
Phone : (
Email:
Gtalk:
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