Organization: Novartis India

Location: Hyderabad, Telangana, India 

We are looking for Sap Job Careers for a skilled and enthusiastic Data Steward with expertise in any of the ETL tools, Databricks, Snowflake SQL, and PySpark to join our innovative team.

As a Data Steward, you will be responsible for designing, implementing, and optimizing scalable data pipelines, ensuring data quality, and building robust data infrastructure.

You will collaborate closely with data scientists, analysts, and other stakeholders to ensure the efficient and reliable flow of data across the organization.

Qualifications

• Education: Bachelors/ master’s in computer sciences/ IT or other quantitative sciences
• 4-6 years experience in a Global company as a data steward, data analyst, data engineer, or business analyst
• Bring a deep business understanding of the pharmaceutical industry and data standards with domain experience in at least one of the following areas – a) Pharma R&D, b) Manufacturing, Procurement, and Supply Chain, and c) Marketing and Sales. Experience in working in the Pharma / Life Science industry is strongly preferred
• Hands-on experience in Master Data Management (MDM), Data Stewardship and Data Quality
• Hands-on experience with ETL and programming/scripting skills (SQL, Alteryx, Databricks & Dataiku) for data preparation and analysis, programming/scripting skills (Python) for data preparation and analysis
• Understanding of data modeling (conceptual, logical, and physical) using different data modeling methodologies
• Experience in data wrangling including Ingestion, Unification, Anonymization, Search, Master & Meta Data Management, and Governance.
• A foundational understanding of semantic web principles, big data ecosystem, knowledge of AWS, AZURE Stack, and basics of NLP would be an advantage
• Act as a data steward supporting multiple use cases, and digital lighthouse projects as part of DLC teams collaborating closely with business, data strategy teams, and IT
• Demonstrate superior data stewardship skills along with strong business understanding to and thereby help prepare data for the FAIRification process and turn Novartis data sets into Findable, Accessible, Interoperable, and Reusable assets.
  

Responsibilities

• Creating and maintaining the sanity of Master Data (e.g., Customer, Products, etc.)
• Supporting consolidation/ harmonization of data (master and transactional data). Support setting up business rules for creating and maintaining master data
• Querying, analyzing, and profiling various datasets
• Supporting data migration activities by validating business data and maintaining data pipelines
• Ensure the data quality and process governance.
• Help build & implement data quality checks and KPI reporting. Closely work along with Business partner & liaising with IT to resolve issues
• Ensuring process documentation in the form of SOPs, QC list & Process flow diagrams.

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