MUST HAVE:
Snowflake, DBT, Talend, Spark, Kafka, Python
Position Summary:
We are seeking a Data Engineer responsible for developing and implementing the IT technology strategy for the Mortgage Servicing team. This role involves collaborating with business and product teams to design, build, and deliver processes that drives our business and technology objectives within the Mortgage industry. The Data Engineer will focus on executing key initiatives and consolidating research and technologies into a unified technical roadmap to create innovative solutions for both organization and customers.
Responsibilities:
· Drive strategy around solutions, solve complex problems, and successfully execute across the Cloud, end-to-end solution, and more.
· Deep technical experts that help accelerate adoption of the best engineering practices, while maintaining knowledge on industry innovations, trends, and practices.
· Leverage business and domain acumen to interpret and translate business requirements to architecture/technology plans.
· Visionaries, collaborating to deliver on business needs that directly impact the lives of our customers.
· Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community.
· Evangelists, both internally and externally, helping to elevate the Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities.
· Contribute to developing key framework and components of solutions and provide technical excellence.
· Identifies the balance between the immediate and long-term impact of technical direction and guides the organization to execution in this balance.
· Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization.
· Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in unified manner.
· Design and implement benchmarks to measure the performance of software systems and make recommendations on technology selection.
Required Qualifications:
· Bachelor's Degree or equivalent in computer science/Information Technology or related field.
· 4+ years of experience in data engineering.
· Expertise in data warehouse design, data modeling, and ETL processes.
· Proficiency in SQL scripting and tuning.
· Advanced programming skills in Python.
· Experience with API’s, Microservices, Spark and Kafka.
· Familiarity with cloud platforms like Snowflake, Azure and GCP.
· Deep hands-on technical expertise in backend technologies like SQL Server Management Studio, Snowpark, DataStage, Talend, DataBricks, Unix/Linux expertise.
· Understanding of IT concepts and methodologies.
· Experience with enterprise level data governance.
Preferred Qualifications:
· Master’s degree in information technology or related field.
· Experience in the Mortgage or Finance industry.
· Proficiency with SQL & NoSQL databases.
· Certifications in related areas like Snowflake Core & SnowPro, Google Data Eng, Azure Data Eng.
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