Senior Data Engineer

3 days ago

Bengaluru, India Relevance Lab 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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