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Senior Data Engineer

Senior Data Engineer

Relevance LabVijayawada, IN
19 hours ago
Job description

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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    Senior Data Engineer • Vijayawada, IN