Data Engineer
- Location
- Kolkata, IN
- Work mode
- On-site
- Employment type
- Full-time
About the job
This permanent Data Engineer role focuses on migrating Medical Affairs data pipelines, reporting assets, and business logic into the IMD Hub target architecture. The core requirements are strong Snowflake and Python skills, data warehousing and modeling knowledge, migration and reconciliation experience, and familiarity with data documentation, governance, and production support. Pharmaceutical or Life Sciences domain knowledge is required by the description, with Medical Affairs experience preferred; experience creating STTM artifacts and supporting CI/CD is also important. The structured input specifies a 6–10 year experience band and locations of Bengaluru, Chennai, Cochin, Gurgaon, Hyderabad, Noida, and Pune. Work mode is not specified, and the description does not independently state the experience band, locations, or employment type. Responsibilities
• Migrate existing Medical Affairs data pipelines, reporting grains, datasets, and business logic into the IMD Hub target architecture.
- Migrate existing Medical Affairs data pipelines, reporting grains, datasets, and business logic into the IMD Hub target architecture.
- Re-point upstream and downstream integrations to ensure seamless transition from legacy platforms to IMD Hub.
- Validate migrated datasets, KPIs, metrics, and reporting outputs to ensure alignment with source systems and business requirements.
- Create and maintain Source-to-Target Mapping (STTM), data dictionaries, metadata, and technical documentation.
- Support deployment and operationalization of Facts, Dimensions, Gold datasets, Transactional datasets, and existing reporting assets.
- Collaborate with business, analytics, and engineering teams to resolve migration, reconciliation, and data quality issues.
- Support release management, CI/CD processes, monitoring, defect resolution, and production support activities.
- Drive data quality, governance, automation, and standardization initiatives across the IMD Hub ecosystem.
- Ensure migrated assets are scalable, maintainable, and aligned with enterprise data architecture standards.
- Strong expertise in Snowflake (Stored Procedures, Tasks, Data Modelling, Data Pipelines, Performance Optimization, and Data Validation).
- Hands-on experience with Python, automation frameworks, and CI/CD processes.
- Strong understanding of Data Warehousing concepts including Facts, Dimensions, Medallion Architecture, Reporting Datasets, and RRDs.
- Snowflake development, including stored procedures, tasks, data modeling, pipelines, optimization, and validation
- Python and automation frameworks
- Data warehousing, including facts, dimensions, medallion architecture, and reporting datasets
- Data migration, modernization, and transformation
- Data validation, reconciliation, testing, and root-cause analysis
- Source-to-Target Mapping (STTM), metadata, and data dictionary documentation
- CI/CD, release management, monitoring, defect resolution, and production support
- Data quality, governance, and end-to-end data lineage
- Pharmaceutical or Life Sciences domain knowledge, including business rules, KPIs, and reporting logic
- Ability to support scalable, secure, maintainable enterprise data products aligned with architecture standards
From Ubique Systems's careers page (Company careers page), checked 1 Nov 2026.
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Posted 28 Oct 2026 · checked 1 Nov 2026 · Report this job