Full Time Data Analyst - Consultant (Databricks, Data Matching, Entity Resolution) Jobs, in Smart IMS Inc. - Ricebowl

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are seeking a highly skilled Data Analyst / Consultant with expertise in entity resolution and data matching to support a critical data mapping initiative. The primary objective of this role is to accurately map internal entity IDs to external identifier sets, ensuring high-quality 1:1 relationships across datasets.

This is an immediate requirement with potential for extension into larger-scale data initiatives.

Key Responsibilities

• Map internal entity identifiers to external identifier systems (e.g., ISINs and other financial entity data)
• Perform entity matching using incomplete or partially structured data (e.g., entity names)
• Apply NLP and fuzzy matching techniques to improve match accuracy
• Ensure clean, reliable 1:1 mappings across datasets
• Work on an initial dataset (2,000–3,000 records) with scalability in mind
• Clean, transform, and standardize unstructured or imperfect datasets
• Collaborate with stakeholders to validate matching logic and outcomes
• Document methodologies and matching rules for future scaling

Required Skills & Experience

• Possess at least 2-5 years of relevant experience in entity resolution / record linkage / data matching
• Hands-on expertise in fuzzy matching techniques and NLP approaches
• Strong experience working with imperfect or unstructured datasets
• Proficiency in Databricks or similar big data platforms (e.g., Spark)
• Solid data wrangling and data engineering skills
• Strong analytical and problem-solving abilities

Preferred Qualifications

• Experience working in financial services or with financial datasets
• Exposure to large-scale data mapping or master data management (MDM)
• Programming skills in Python (libraries such as pandas, fuzzywuzzy, spaCy, etc.)