MDM Developer - Reltio and Informatica

Job Description 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, Informatica MDM, Informatica Cloud (IICS)).

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.

Automation & DevOps: Develop and deploy automation tools and CI/CD pipelines (GitHub Actions, CodePipeline) to streamline MDM deployments.

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.

Qualifications

• Technical Skills:
• AWS Services: Hands-on experience with AWS SageMaker, Textract, Comprehend, Lambda, Glue, Redshift, and S3.
• Machine Learning and Statistical Techniques: Strong knowledge of supervised and unsupervised learning techniques, time series analysis, and statistical modeling.
• Programming: Proficiency in Python; SQL for data manipulation and transformation.
• Data Wrangling: Experience with data preparation, feature engineering, and data transformation.
• Big Data Tools: Familiarity with Spark, EMR, and other big data tools on AWS is a plus.
• 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.
• Certifications: AWS Certified Machine Learning - Specialty or AWS Certified Data Analytics - Specialty is a plus.

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, Informatica MDM/IICS, Profisee, Semarchy).

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 D ata Analytics – Specialty, Solutions Architect).

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

Base Salary Range: $110,000 - $150,000 per annum

TCS Employee Benefits Summary Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Qualifications: BACHELOR OF COMPUTER SCIENCE