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Lead Data Engineer – R01565207

Bangalore, Karnataka, India · Employee · Compensation not disclosed by employer

Category
AI & Data Engineering
Skills
See official employer job description
Experience
Lead
Openings
3
Apply by
October 18, 2026
Consultant

Primary Skills

  • ETL Fundamentals, SQL, SQL (Basic + Advanced), Alation, Talend, Python, Data Warehousing, IICS, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures

Specialization

  • ETL Specialization: Senior Data Engineer

Job requirements

  • Job Title: Data Engineer – IICS & Snowflake (Healthcare / Life Sciences) Role Summary We are seeking an experienced Data Engineer with strong expertise in Informatica Intelligent Cloud Services (IICS) and Snowflake, along with domain knowledge in Healthcare & Life Sciences (HLS). The ideal candidate will design, build, and optimize scalable data pipelines supporting commercial, patient, clinical, or real-world data use cases. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using IICS Build scalable data models and transformations in Snowflake Implement data ingestion from structured and semi-structured sources (S3, APIs, flat files, etc.) Optimize Snowflake performance (clustering, micro-partitions, query tuning) Work with HLS datasets (claims, patient data, CRM, commercial sales, specialty pharmacy, etc.) Ensure data quality, governance, and compliance (HIPAA/GxP awareness preferred) Collaborate with business stakeholders for requirement gathering and solution design Support production deployments, troubleshooting, and performance tuning Implement CI/CD and version control best practices Required Skills Technical: 4–8+ years of experience in Data Engineering Strong hands-on experience with Informatica IICS (CAI/CDI/MDM preferred) Strong Snowflake experience (SQL, performance tuning, data modeling) Advanced SQL and data transformation expertise Experience with cloud platforms (AWS/Azure preferred) Understanding of data warehousing concepts (SCD, Star/Snowflake schema) Experience handling large datasets and performance optimization Familiarity with APIs, JSON, XML, and semi-structured data Domain (HLS): Experience working in Healthcare or Life Sciences domain Understanding of: Claims data (Komodo, IQVIA, Symphony, etc.) Specialty pharmacy / Patient Support Programs (PSP) CRM (Veeva/SFDC) Commercial sales analytics Regulatory/compliance requirements

Responsibilities

• Lead end-to-end execution of projects and cross-functional deliverables for Lead Data Engineer - R01565207.
• Collaborate closely with departmental peers and stakeholders to ensure seamless operational continuity.
• Monitor core performance KPIs, troubleshoot bottlenecks, and implement optimization protocols.
• Champion high quality standards, peer reviews, and comprehensive team documentation.

Candidate Skill Fit Analysis

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Required competencies and technical background for this position:

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Estimated In-Hand Salary

New Tax Regime (AY 2026–27)

Indicative estimate using standard assumptions for EPF, professional tax and Section 87A. Actual payroll, benefits and deductions vary by employer and individual.

₹1,200,000
Monthly In-Hand ₹--
Annual Take-Home ₹--
Standard Deduction: ₹75,000 / yr
Employee PF (EPF): ₹-- / mo
Estimated Income Tax: ₹-- / mo

Compensation Market Benchmark

Competitive Band

Estimated industry distribution for AI & Data Engineering roles in Bangalore, Karnataka, India:

25th Pct (Entry): ₹7.5L Median (Market Avg): ₹15L 75th Pct (Top Tier): ₹22L+
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