Remote Senior Data Engineer

Summary

Join Truelogic, a leading provider of nearshore staff augmentation services, as a Senior Backend Engineer to work on Master Data Management (MDM) team. You'll architect and maintain critical data infrastructure, integrating Reltio with AWS serverless technologies and collaborating with enterprise customer preference platforms.

Requirements

• 5+ years of hands-on experience in backend engineering or data integration
• 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

Responsibilities

• Become a subject matter expert on Reltio, understanding its data modeling capabilities, workflows, and APIs
• Design, develop, and maintain integrations between Reltio, various source systems, and customer preference platforms (OneTrust, PossibleNow, etc.) using AWS Glue, Lambda, Kinesis, and SQS
• 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
• 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
• 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
• Work closely with data engineers, architects, business stakeholders, and teams managing customer preference platforms to gather requirements, design solutions, and troubleshoot issues
• Stay abreast of emerging trends and technologies in MDM, data integration, and customer preference management, evaluating their potential for improving our data management practices