Hiring MDM Engineer @ TechAffinity Global

TechAffinity; Chennai District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

TechAffinity in Chennai seeks an experienced Data Engineer with 5–8 years in MDM and data platform development to drive Master Data Management initiatives. You will handle Customer 360, identity resolution, survivorship, and hierarchy management while ensuring data governance and quality across cloud-based platforms.

The role requires hands-on work with MDM tools such as Reltio or Informatica MDM, strong SQL skills, and experience building scalable ETL/ELT pipelines using Databricks or

Qualifications

• 5 to 8 years of experience in Data Engineering, MDM, or Enterprise Data Platform development.
• Hands-on experience with MDM platforms such as Reltio or Informatica MDM.
• Expertise in SQL and enterprise data platforms like Databricks.
• Experience with cloud technologies (AWS, GCP, or Azure).
• Knowledge of Data Governance, Data Quality, profiling, cleansing, and duplicate detection.
• Familiarity with building scalable ETL/ELT pipelines and data integrations.
• Proficiency in Python, Java, or Scala is preferred.

Skills

MDM concepts

Customer 360

Match & Merge

Survivorship

Identity Resolution

Hierarchy Management

Data Governance

Data quality

Profiling

Cleansing

Duplicate detection

SQL

Python

Java

Scala

ETL/ELT pipelines

Databricks

Reltio

Informatica MDM

AWS

GCP

Azure

Tools

Reltio

Informatica MDM

Databricks

AWS

GCP

Azure

Job description

Job Description:

• 5 to 8 years of experience in Data Engineering, MDM, or Enterprise Data Platform development.
• Strong expertise in Master Data Management concepts including:
• Customer 360
• Match & Merge
• Survivorship
• Identity Resolution
• Hierarchy Management
• Data Governance
• Hands-on experience with one or more MDM platforms such as:
• Reltio
• Informatica MDM
• Other enterprise MDM platforms
• Strong experience in data quality management, profiling, cleansing, standardization, and
• duplicate detection.
• Expertise in SQL and enterprise data platforms such as:
• Databricks
• Other modern data warehouses
• Strong experience with cloud technologies including AWS, GCP, or Azure.
• Experience building scalable ETL/ELT pipelines and enterprise data integrations.
• Hands-on experience in Python, Java, or Scala is preferred.