What are the responsibilities and job description for the MDM Developer - Reltio position at StratEdge It consulting INC?
Job Title MDM Developer - Reltio
Location Seattle, WA 98108
Client Name TCS
Bill Rate 70 on c2c 65 on w2
Years of Experience 10 years
Employment Type c2c/w2/1099
Work Mode 100% Onsite
Duration 12 months (can extend)
Mandatory Skills Reltio MDM, AWS (S3/Lambda/Glue/Redshift/IAM), Python, SQL, Data Modeling, Data Governance, Agile/Scrum
Preferred Skills Informatica MDM, AWS Certification
Education Bachelor's/Master's in CS/IT/Data Engineering (preferred)
Certifications
Certification Status
AWS Certified Data Analytics - Specialty Preferred
AWS Certified Solutions Architect Preferred
Other AWS Certifications
Preferred Skills
Skill Details
Informatica MDM Knowledge or experience is preferred and considered an added advantage
AWS Certification e.g., AWS Certified Data Analytics - Specialty, Solutions Architect
Bachelor's or Master's Degree In Computer Science, Information Technology, Data Engineering, or related field
Mandatory Skills
Skill
Details
Reltio MDM
Hands-on experience with Reltio MDM platform
AWS Services
Hands-on experience with AWS cloud services
Programming
Proficiency in Python
SQL
Advanced SQL for data manipulation and transformation
Data Wrangling
Experience with data preparation, feature engineering, and data transformation
MDM Tools
Strong experience with industry-leading MDM tools (e.g., Reltio)
AWS Services
Hands-on experience with S3, Lambda, Glue, Redshift, IAM, and API Gateway
Data Governance
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
Experience
10 years in MDM implementations, with 2-3 years hands-on in cloud-native environment
Problem Solving
Strong analytical and problem-solving skills
Communication
Ability to communicate complex results clearly to technical and non-technical stakeholders
Overview:
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.
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.
Location Seattle, WA 98108
Client Name TCS
Bill Rate 70 on c2c 65 on w2
Years of Experience 10 years
Employment Type c2c/w2/1099
Work Mode 100% Onsite
Duration 12 months (can extend)
Mandatory Skills Reltio MDM, AWS (S3/Lambda/Glue/Redshift/IAM), Python, SQL, Data Modeling, Data Governance, Agile/Scrum
Preferred Skills Informatica MDM, AWS Certification
Education Bachelor's/Master's in CS/IT/Data Engineering (preferred)
Certifications
Certification Status
AWS Certified Data Analytics - Specialty Preferred
AWS Certified Solutions Architect Preferred
Other AWS Certifications
Preferred Skills
Skill Details
Informatica MDM Knowledge or experience is preferred and considered an added advantage
AWS Certification e.g., AWS Certified Data Analytics - Specialty, Solutions Architect
Bachelor's or Master's Degree In Computer Science, Information Technology, Data Engineering, or related field
Mandatory Skills
Skill
Details
Reltio MDM
Hands-on experience with Reltio MDM platform
AWS Services
Hands-on experience with AWS cloud services
Programming
Proficiency in Python
SQL
Advanced SQL for data manipulation and transformation
Data Wrangling
Experience with data preparation, feature engineering, and data transformation
MDM Tools
Strong experience with industry-leading MDM tools (e.g., Reltio)
AWS Services
Hands-on experience with S3, Lambda, Glue, Redshift, IAM, and API Gateway
Data Governance
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
Experience
10 years in MDM implementations, with 2-3 years hands-on in cloud-native environment
Problem Solving
Strong analytical and problem-solving skills
Communication
Ability to communicate complex results clearly to technical and non-technical stakeholders
Overview:
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.
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.