Salary
≈ $16k – $39k per year (Estimated)
Location
In office (Noida)
Seniority
Staff
Employment
Full-Time
First seen by Alion on Oct 27, 2026.
Overview
Company
Impact
Profile match
Axtria provides data analytics and machine learning software to the life sciences commercial function, covering sales planning and omnichannel engagement. Founded in 2010 in New Jersey, it combines cloud data products with domain consulting for pharmaceutical clients. The company operates large delivery centres in India.
Backed by Kedaara Capital
- Participates in requirements gathering and research, proposes technology solutions, and develops solutions within agreed upon timelines. Understand the underlying data and flow of data.
- Design, implement, and support data warehousing – implement business rules via stored procedures, middleware or other technologies; define user interfaces and functional specifications
- Design and implement OLTP and OLAP data models
- Build ETL pipelines with ability to implement complex business rules
- Evaluate, design, and maintain multiple database environments; identify data sources, construct data decomposition diagrams, provide data flow diagrams, and document the process; write codes for database access, modifications and constructions including stored procedures and database server configuration
- Well versed with SQL and PL/SQL with ability to create, debug, optimize store procedures / SQL statements
- Troubleshoot and resolve data quality issues, database performance issues, database capacity issues, replication and other distributed data issues
- Resolve performance issues by looking at query plans, create appropriate indexes, resolve dead locks, and create table hints
- Closely work with other IT teams including Analysts and Product Managers to troubleshoot, modify, and enhance existing BI assets
- Develop, implement, and maintain change control and testing processes for modifications to databases
- Implement SDLC processes including creating STTM documents, system design, code reviews, deployment plans, enhancements, status reporting etc
- Client engagement including requirements management, user acceptance
- Provide hypercare and production support of implemented data engineering solution
- Impact assessment, incident/problem management, change request estimation and implementation
- Pharma experienced
- Trained or hands on exposure to Gen AI technologies is a plus
- Some working exposure to data governance / MDM / BI tools is desirable
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