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EIM Data Engineer @ Virtusa

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 EIM Data Engineer

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

    Virtusa is a leading worldwide provider of information technology (IT) consulting and outsourcing services. We help accelerate business outcomes for Global 2000 businesses in banking and financial services, insurance, healthcare, telecommunications and media.