Senior Data Engineer - Data Management, Analytics, DS&AI
Sandoz (company site, opens in a new tab)TelanganaOn-siteDirect career pageEst. 18–30 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Build, own, and maintain scalable data ingestion and transformation pipelines for GDPP source systems into Sandoz's enterprise data platform.
- Transform complex business data into trusted, business-ready data products supporting regulatory, portfolio, quality, and biosimilar development functions.
- Ensure high availability, reliability, and quality of data pipelines to support business-critical reporting and analytics.
Minimum Requirements
- Bachelor's degree in Computer Science, IT, Engineering, Data Science, or related field.
- Proven experience building and supporting production-grade data pipelines with medium to large-scale datasets.
- Strong SQL expertise including analytical queries, data transformations, and performance optimization.
- Experience with Python-based ETL, Databricks, Apache Spark, AWS services, version control (Git), and modern engineering practices (testing, code reviews, CI/CD).
Ideal Candidate Profile
- Experience working end-to-end in designing, deploying, monitoring, and maintaining data engineering solutions in cloud environments (Databricks, AWS).
- Capability to handle complex, imperfect source data and maintain data quality and governance standards.
- Experience interfacing directly with business stakeholders to translate requirements into effective data products and solutions.