Data Engineer SR at Sagent

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Full Time

Start Date

Immediate

Expiry Date

03 Feb, 26

Salary

0.0

Posted On

05 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Integration, Data Management, ETL Techniques, Data Warehouses, Data Lakes, Data Governance, Data Quality, Research, Innovation, Project Management, Agile Methodologies, Python, SQL, PostgreSQL, Snowflake, AirFlow

Industry

IT Services and IT Consulting

Description

Why you'll LOVE Sagent: You could work anywhere. We know you are talented and looking for something inspiring and impactful. A place where you will make a difference and have a great time doing it! By choosing Sagent, you can be part of our mission to make loans and homeownership simpler and safer for all consumers. Sagent powers servicers and consumers. You power Sagent! Overview: Sagent is seeking an experienced Data Engineer to join our Dara product(s) team. Dara is the next generation, cloud native, mortgage servicing platform positioned to transform the $13T mortgage industry. The systems will be used by lenders and servicers in the consumer and mortgage lending markets in the United States. As a Data Engineer you will be responsible for leading the design and implementation of comprehensive data solutions. Leveraging your extensive experience and expertise in data management, you will drive the development of data collection frameworks, infrastructure systems, and data standards to meet the business needs. Your day-to-day at Sagent: Data Integration and Management: Apply data extraction, transformation, and loading techniques to connect large datasets from diverse sources, ensuring data consistency and integrity. Develop and maintain infrastructure systems, including data warehouses and data lakes, and data access APIs. Data Governance and Quality Assurance: Define data standards, governance routines, and data quality monitoring controls to ensure compliance with business needs and regulatory requirements. Implement processes and procedures to maintain data quality and consistency across the organization. Research and Innovation: Research current industry, market, and technology trends to identify opportunities for innovation and business enablement. Apply knowledge and experience to drive the adoption of new technologies and methodologies to improve data architecture and management practices. We would love to hear from you if you have: Bachelor’s degree in computer science, Information Technology, or relevant discipline with 6-8 years of experience as a data engineer, developer, data warehouse consumer and / or data related operations Proficiency in applying a theoretical knowledge base to achieve goals through independent work. Experience in data extraction, transformation, and loading (ETL) techniques to connect large datasets from various sources. Demonstrated ability to create data collection frameworks for structured and unstructured data. Proficiency in developing and maintaining infrastructure systems, such as data warehouses and data lakes, including data access APIs. Strong understanding of data standards, governance routines, and data quality monitoring controls to meet business needs. Experience applying a structured methodology for delivering new or enhanced products to the marketplace. Proficient in refining project goals and tactics to achieve those goals; understands the value of development management and project management frameworks and best practices. Additional Skills/Technical Knowledge Preferred: 6-8+ years of experience as a data engineer, developer, data warehouse consumer and / or data related operations 3+ Years of working experience or exposure to Azure, GCP or any other Cloud development and deployment practices. 3+ years of experience with deployments via devops CI/CD pipelines. Proficient in database development across PostgreSQL, SQL Server, and Snowflake environments. Working knowledge of Python, PySPARK and strong PL/SQL skills. Working Knowledge in orchestration/scheduling tools like AirFlow is an added advantage HandsOn experience in Spark/Python Job management through services like Dataproc is an added advantage Knowledge in data integration concepts, source-to-target mapping techniques and requirements documentation. Highly skilled in managing all aspects of all sizes and complexities of multiple projects simultaneously across the software development life cycle phases (SDLC). Understanding of Agile development methodologies and software project life cycle and associated methodologies. Experience with standard systems analysis tools and procedures Ability to prioritize and handle multiple projects. Excellent problem solving, analytical, and customer service skills. Excellent verbal and written communication skills with the ability to establish deep understanding of client’s business issues. #LI-REMOTE #LI-AN1 Perks! As a Sagent Associate, you will be eligible to participate in our benefit programs beginning on Day #1! We offer a comprehensive package including Remote/Hybrid workplace options, Health Benefits, Unlimited Flexible Time Off, Family Planning Services, Tuition Reimbursement, Paid Family Leave, 401(k) Matching, Pet Insurance, In-person and Virtual Social Experiences, Career Pathing, Focus Time Fridays and much, much more! Why Sagent? Sagent is transforming the mortgage servicing industry by bringing the modern experience customers now expect from loan originations to loan servicing. Our platform lets customers manage their home-owing lives from anywhere while giving servicers lower costs, scale compliance and higher servicing values through full market cycles. Sagent is a joint venture that combines Fiserv Inc.'s decades of market-leading fintech expertise with Warburg Pincus' skill in growing technology companies. We hire innovators and doers to disrupt the last and most complex frontier of lending and housing. We're growing fast and need you to help shape our future. Sagent is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Responsibilities

As a Data Engineer, you will lead the design and implementation of comprehensive data solutions, ensuring data consistency and integrity. You will also develop and maintain infrastructure systems, including data warehouses and data lakes, while defining data standards and governance routines.