Senior Data Engineer

3 weeks ago

Jūnāgadh, India Whatjobs IN C2 Full time

Job Description Design, build and maintain enterprise data models and data assets on Microsoft Azure to support analytics, reporting, ML/AI and data products. Translate business requirements into robust logical and physical data models, ensuring alignment with data architecture, governance, security and performance standards. Enable reusable, well-documented data structures that accelerate insight delivery and reduce technical debt. Key responsibilities Develop conceptual, logical and physical data models for transactional, analytical and semantic layers (including star/snowflake schemas, data vault or other patterns as appropriate). Define entities, attributes, relationships, keys, constraints and data types in line with client standards. Drive consistent modeling across projects to support integration, reuse and scale. Implement models using Azure services: Azure SQL Database / Azure Synapse / Azure Data Lake (Gen2) / Synapse dedicated SQL pools / Azure Databricks / Cosmos DB as applicable. Work with engineers to implement ELT/ETL pipelines (Azure Data Factory / Synapse Pipelines / Databricks notebooks) that load and transform data into modelled structures. Engage with business stakeholders, data engineers, data scientists, analytics teams and product owners to gather and validate data requirements. Partner with enterprise architecture, cloud engineering and security teams to ensure solutions meet standards and constraints. Ensure data modelling meets data privacy, classification and security requirements; support access control design (RBAC, row-level security). Recommend partitioning, indexing, materialised views / cached layers and compute sizing to balance performance and cost. Required qualifications & experience: Degree in Computer Science, Information Systems, Data Science, Engineering or a related discipline (or equivalent practical experience). Proven hands-on experience designing and implementing data models for analytics and reporting on Microsoft Azure in enterprise environments. Experience with one or more of: Azure Synapse Analytics, Azure SQL Database, Azure Data Lake Gen2, Azure Databricks, Cosmos DB. Strong knowledge of data modelling techniques (3NF, dimensional modelling, data vault) and experience selecting appropriate patterns. Practical experience with data ingestion and transformation tools such as Azure Data Factory, Synapse Pipelines or Databricks. Familiarity with metadata management tools (Azure Purview or equivalent), data lineage and data quality frameworks. Strong SQL skills; experience optimising SQL for analytical workloads. Understanding of data security, privacy and regulatory requirements relevant to pharma/healthcare desirable. Preferred skills and attributes Azure certifications (e.G., Microsoft Certified: Azure Data Engineer Associate, Azure Solutions Architect) desirable. Knowledge of big data processing (Spark), Python/Scala for data engineering tasks. Experience working in regulated industries (pharmaceuticals, healthcare) and with clinical/trial data models desirable. Strong problem solving, attention to detail and pragmatic approach to delivery in agile teams.

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