Data Specialist
Bangalore, Karnataka, India
- Pay
- Salary not listed in the saved posting
- Work setup
Hybrid — work setup source
Work setup in the employer’s listing: hybrid
From the employer’s posting- Employment
- Unconfirmed
What you’ll work on
Full postingDesign, develop and maintain ETL/ELT pipelines using IICS
Build scalable data models and transformations in Snowflake
Ingest structured and semi-structured data from S3, APIs and flat files
Optimize Snowflake performance through clustering and query tuning
Support production deployments and troubleshoot performance issues
From the employer’s posting
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)
Support production deployments, troubleshooting, and performance tuning
What you’ll bring
All qualificationsCore experience
- 4+ years of data engineering experience
- Hands-on experience with Informatica IICS
- Strong Snowflake experience, including SQL, performance tuning and data modeling
- Advanced SQL and data transformation expertise
- Experience with AWS or Azure cloud platforms
Qualification wording
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)
Tools in this posting
- Python
- SQL
- AWS
- Azure
- S3
- Snowflake
Source — Tool mentions in context
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
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 Employment type
Posting record
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- Live
- First seen by us
- Jun 23, 2026 · 117d ago
- Recorded sightings
- 187
- Last seen by us
- Oct 17, 2026
- Employer says posted
- May 12, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
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
Employment type
Employee
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Bangalore, Karnataka, India
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