Description

You will design and build scalable data architectures and pipelines within the Azure ecosystem.

Responsibilities

• Design normalized, denormalized, star, and snowflake schemas to meet business requirements.
• Develop and maintain ETL/ELT processes using Azure Data Factory, Databricks, and Synapse Analytics.
• Implement partitioning, indexing, and clustering strategies to optimize database performance and scalability.
• Manage data ingestion, transformation, and storage across Azure Data Lake, SQL Database, and Synapse.
• Optimize data flows for both structured and unstructured data to support analytical processing.

Required Skills

• 7+ years of experience in data engineering with a focus on schema design and data modeling.
• Expertise in Azure Data Services including Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, Cosmos DB, Databricks, and Azure Data Factory.
• Hands-on experience with OLTP vs. OLAP principles, star/snowflake schemas, indexing, and partitioning.
• Proficiency in SQL, Python, or Scala for data processing and transformation.
• Experience with Big Data processing using Apache Spark, Delta Lake, and Parquet formats.
• Familiarity with CI/CD pipelines for data workflows using Azure DevOps.
• Experience in performance tuning, query optimization, and cost management on Azure.
• Knowledge of Snowflake Schema, SQL Server, and SQL Database.

Preferred Skills

• Knowledge of data governance, security, and compliance best practices.

Key Skills

Education

Any Graduate