Data Engineer

 Job Description

• This individual will need to have 7+ years of depth in Infosphere DataStage/SQL Server
• This role is onsite in Cincinnati, OH
• Previous experience at 5/3 is preferred
• Experience with BKFS (Black Knight Financial Services)/MSP is preferred
• Previous experience working in mortgage industry is preferred
• Experience with Kafka is preferred (nice to have)
• Experience with Snowflake is preferred (nice to have)
• Jr. roles may be considered

Job Overview:-

• We are 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.

Qualifications:-

• 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, STRONG experience in ETL, leveraging IBM Datastage.
• 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.
• 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.
• STRONG experience in ETL, leveraging MS SSIS.
• 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.