Role Objective: To design a scalable, multi-tier data architecture that supports immediate Finance needs while providing "technical hooks" for future Vendor and Asset domains. With a focus on design, configure and implement MDM tool such as PIMCORE

Key Responsibilities:
Design and implement PIMCORE
Design the Logical Data Model (Entities, Attributes, and Relationships) for the MDM Hub.
Architect the Integration Strategy, selecting between Batch (Spark) or Real-time (Kafka) patterns to meet the 24-hour lineage SLA.
Establish technical standards for Source-to-Target Mappings (STMs) and data sensitivity masking.
Build, test, and deploy the high-performance pipelines and workflows that synchronize the 6 source applications with the MDM hub.
ETL/ELT Development: Build robust data pipelines using enterprise tools (e.g., Informatica, Talend, or Azure Data Factory).
Big Data Processing: Utilize PySpark or Scala/Spark for large-scale data cleansing, de-duplication, and financial logic transformations.
Messaging & Streaming: Implement Apache Kafka for real-time metadata synchronization and change notifications across systems.
Custom Scripting: Write Python scripts for API consumption, automated data validation, and maintenance tasks.

Required Skills/Qualifications:




Implementation experience of MDM tool specifically PIMCORE
Expertise in MDM Architecture and Data Modeling.
Deep understanding of Distributed Computing and Event-Driven Architecture.
Experience with cloud-native data security (RBAC, PII encryption).
Languages: Expert in SQL, Python, and Spark (PySpark).
Messaging: Hands-on experience with Kafka or similar messaging queues.
Tools: Advanced proficiency in at least one enterprise ETL platform.
Automation: Experience with Git-based CI/CD pipelines for data engineering.
Python / PySpark: Custom transformations and de-duplication of 6 disparate data sources.
Apache Kafka :Maintaining the "Golden Thread" through real-time event streaming.
Enterprise ETL Tools: Standardizing CoA and Cost Centres into the central MDM repository.
SQL: Complex querying, data profiling, and database management.
Data Quality Logic: Building "Hard Gates" to reject non-compliant financial data at ingestion.

Compensation:
Hourly rate of INR 1,250 with working of minimum 16 hours per week leading to INR20,000 per week
Working from Home
Immediate start
You can work part time

📌 Mdm Master Data Management Tool Specialist, Informatica, Pimcore Chennai
🏢 Baseel Partners
📍 Chennai