EIM Data Engineer @ Virtusa

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EIM Data Engineer

Virtusa
5 - 10 years
Noida, Gurugram
1 month ago
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Job Description

The Data Engineer designs and builds the automated ETL/ELT workflows that power Mercers consulting tools
You will be responsible for ingesting fragmented data from insurance carriers, third-party administrators (TPAs), and client HRIS systems, transforming it into a structured format for actuarial modeling and compensation benchmarking

Key Responsibilities

Pipeline Development: Build and maintain robust data pipelines using Python, SQL, and Spark to process large-scale healthcare claims and salary survey data
Data Normalization: Develop logic to clean and standardize diverse data formatsLanguages: Expert-level SQL and Python (specifically for data manipulation via Pandas/PySpark)
Big Data Tools: Hands-on experience with Databricks, Snowflake, or Hadoop ecosystems
Orchestration: Experience with Airflow or Azure Data Factory for managing complex job dependencies
Modeling: Understanding of Star/Snowflake schemas and Data Vault 20 for long-term analytical storage
As a Data Engineer for Mercers Health Benefits (HB) and Compensation domain, you are the architect of the Data Highway
Your mission is to build the pipelines that move millions of sensitive recordsfrom hospital claims to executive payrollinto a centralized, high-performance analytics environment
Job Title: Data Engineer Health Total RewardsRole Objective by building automated masking and de-identification routines to ensure HIPAA and GDPR compliance for Protected Health Information (PHI)
Cloud Infrastructure: Deploy and monitor data workloads on Azure (Data Factory/Databricks) or AWS (Glue/Redshift) to ensure high availability and scalability
Technical Stack RequirementsLanguages: Expert-level SQL and Python (specifically for data manipulation via Pandas/PySpark)
Big Data Tools: Hands-on experience with Databricks, Snowflake, or Hadoop ecosystems
Orchestration: Experience with Airflow or Azure Data Factory for managing complex job dependencies
Modeling: Understanding of Star/Snowflake schemas and Data Vault 20 for long-term analytical storage

Qualifications

Experience: 3-6 years in Data Engineering, ideally within Healthcare, Insurance, or FinTech.Domain Knowledge: Familiarity with ICD-10/CPT codes (medical) or global payroll structures.

Education:

Bachelors degree in Computer Science, Data Engineering, or a related quantitative field.

Job Classification

Industry: Banking
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Virtusa
Location(s): Noida, Gurugram

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Keyskills: data engineer snowflake python hris data pipelines airflow databricks elt data engineering sql pandas redshift spark hadoop big data aws etl azure

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Virtusa

At Virtusa, we value teamwork, professional and personal growth, and quality of life. Our values lay the foundations of our corporate culture. We aim at providing a dynamic platform for great minds to connect and work together to reach their full potential. Our values preserve the team environment...

EIM Data Engineer @ Virtusa

Home > Software Development