Senior Data Engineer - National Mortgage Lender
To see similar active jobs please follow this link: Remote Development jobs
Truelogic is a leading provider of nearshore staff augmentation services, located in New York. Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. Truelogic has been helping companies of all sizes to achieve their digital transformation goals.
Would you like to make innovation happen? Have you ever dreamed of building Products that impact millions of users? Nice! Then we have a seat for you on our team!
What are you going to do?
You will have the opportunity to work in a forward-thinking and growth-oriented environment, as a Senior Backend Engineer to join our Master Data Management (MDM) team.You'll be integral in architecting and maintaining the critical data infrastructure that provides a single, trusted source of customer data for our sales and marketing teams
This role involves working with Reltio, a leading MDM platform, integrating it seamlessly with our systems using AWS serverless technologies, and collaborating with enterprise customer preference platforms like OneTrust or PossibleNow.
Key Responsibilities:
Reltio Expertise: Become a subject matter expert on Reltio, understanding its data modeling capabilities, workflows, and APIs.
Data Integration: Design, develop, and maintain integrations between Reltio, various source systems, and customer preference platforms (OneTrust, PossibleNow, etc.) using AWS Glue, Lambda, Kinesis, and SQS.
Data Quality: Implement data quality rules, matching algorithms, and cleansing routines to ensure the accuracy and completeness of customer data in Reltio, including preference and consent data.
Data Governance: Collaborate with data stewards and business users to define and enforce data governance policies within the MDM platform, particularly around customer preferences and consent management.
Performance Optimization: Monitor and optimize the performance of Reltio and its integrations to ensure efficient data processing and access, especially in relation to real-time preference updates.
Collaboration: Work closely with data engineers, architects, business stakeholders, and teams managing customer preference platforms to gather requirements, design solutions, and troubleshoot issues.
Innovation: Stay abreast of emerging trends and technologies in MDM, data integration, and customer preference management, evaluating their potential for improving our data management practices.
What will help you succeed
5+ years of hands-on experience in backend engineering or data integration, with at least 2 years of experience working with an MDM platform and experience integrating with enterprise customer preference platforms (OneTrust, PossibleNow or similar).
Proficiency in Python or another relevant programming language.
Expertise in AWS serverless technologies (Glue, Lambda, Kinesis, SQS).
Strong SQL skills and experience with Snowflake or a similar data warehouse.
Experience with data modeling, data cleansing, and data quality management, particularly as it relates to customer preferences and consent.
Understanding of REST APIs and web services.
Attention to detail and a commitment to data accuracy.
Senior Data Engineer - National Mortgage Lender
To see similar active jobs please follow this link: Remote Development jobs
Truelogic is a leading provider of nearshore staff augmentation services, located in New York. Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. Truelogic has been helping companies of all sizes to achieve their digital transformation goals.
Would you like to make innovation happen? Have you ever dreamed of building Products that impact millions of users? Nice! Then we have a seat for you on our team!
What are you going to do?
You will have the opportunity to work in a forward-thinking and growth-oriented environment, as a Senior Backend Engineer to join our Master Data Management (MDM) team.You'll be integral in architecting and maintaining the critical data infrastructure that provides a single, trusted source of customer data for our sales and marketing teams
This role involves working with Reltio, a leading MDM platform, integrating it seamlessly with our systems using AWS serverless technologies, and collaborating with enterprise customer preference platforms like OneTrust or PossibleNow.
Key Responsibilities:
Reltio Expertise: Become a subject matter expert on Reltio, understanding its data modeling capabilities, workflows, and APIs.
Data Integration: Design, develop, and maintain integrations between Reltio, various source systems, and customer preference platforms (OneTrust, PossibleNow, etc.) using AWS Glue, Lambda, Kinesis, and SQS.
Data Quality: Implement data quality rules, matching algorithms, and cleansing routines to ensure the accuracy and completeness of customer data in Reltio, including preference and consent data.
Data Governance: Collaborate with data stewards and business users to define and enforce data governance policies within the MDM platform, particularly around customer preferences and consent management.
Performance Optimization: Monitor and optimize the performance of Reltio and its integrations to ensure efficient data processing and access, especially in relation to real-time preference updates.
Collaboration: Work closely with data engineers, architects, business stakeholders, and teams managing customer preference platforms to gather requirements, design solutions, and troubleshoot issues.
Innovation: Stay abreast of emerging trends and technologies in MDM, data integration, and customer preference management, evaluating their potential for improving our data management practices.
What will help you succeed
5+ years of hands-on experience in backend engineering or data integration, with at least 2 years of experience working with an MDM platform and experience integrating with enterprise customer preference platforms (OneTrust, PossibleNow or similar).
Proficiency in Python or another relevant programming language.
Expertise in AWS serverless technologies (Glue, Lambda, Kinesis, SQS).
Strong SQL skills and experience with Snowflake or a similar data warehouse.
Experience with data modeling, data cleansing, and data quality management, particularly as it relates to customer preferences and consent.
Understanding of REST APIs and web services.
Attention to detail and a commitment to data accuracy.