Data Engineer
United IT Solutions
- 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
- 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.
- 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.
- 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.
Vacancy posted 5 days ago
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