Must Have Technical/Functional Skills
We are seeking a highly skilled Senior Data Management Engineer with a strong background in Master Data Management (MDM) and hands-on experience implementing solutions within the Amazon Web Services (AWS) cloud ecosystem. In this role, you will design, develop, and implement MDM solutions to create a single source of truth (Golden Record) for Customer, Product, or Vendor domains. You will be a key contributor in integrating MDM platforms with AWS native services, building automated data pipelines, and ensuring data quality across the enterprise.
Roles & Responsibilities
Key Responsibilities:
MDM Solution Implementation: Lead the end-to-end design, configuration, and implementation of MDM platforms (e.g., Reltio).
AWS Cloud Integration: Architect and maintain integrations between MDM systems and AWS services (S3, Lambda, Glue, Redshift, Dynamo, MSK/Kinesis) to ensure scalable data ingestion and distribution.
Data Modeling & Quality: Design master data models, define match/merge rules, survivorship, and data quality checks.
Data Pipeline Engineering: Build and optimize ETL/ELT pipelines to transform source data into MDM-ready structures.
Collaboration: Work with data stewards, business analysts, and architects to translate business requirements into technical MDM solutions.
Informatica MDM knowledge or experience is preferred and will be considered an added advantage
Qualifications:
Technical Skills:
Reltio MDM: Hands-on experience with Reltio MDM
AWS Services: Hands-on experience with AWS services / cloud
Programming: Proficiency in Python; SQL for data manipulation and transformation.
Data Wrangling: Experience with data preparation, feature engineering, and data transformation.
Problem Solving: Strong analytical and problem-solving skills, with a focus on translating business questions into data science problems.
Communication: Ability to communicate complex results clearly to both technical and non-technical stakeholders.
Experience: 10+ years of experience in Master Data Management (MDM) implementations, with at least 2-3 years hands-on experience in a cloud-native environment.
MDM Tools: Strong experience with industry-leading MDM tools (e.g., Reltio).
AWS Proficiency: Proven hands-on experience with AWS services including S3, Lambda, Glue, Redshift, IAM, and API Gateway.
Programming/Scripting: Proficiency in Python and advanced SQL for data manipulation and automation.
Data Governance: Solid understanding of data stewardship, data lineage, and data quality principles.
Data Modeling: Experience in relational database modeling and JSON/XML data formats.
Methodologies: Experience working within Agile/Scrum teams.
Preferred Qualifications:
AWS Certification (e.g., AWS Certified Data Analytics Specialty, Solutions Architect) is plus.
Bachelor s or Master s degree in Computer Science, Information Technology, Data Engineering, or a related field
Generic Managerial Skills, If any
Working on dynamic environment
Problem Solving skills
Solve the ambiguity and work in complex environment
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