L3 Azure Data Engineer
24 hours ago
Key Responsibilities
- Design, develop, and maintain end-to-end data pipelines using Azure Data Factory (ADF), Databricks, Synapse Analytics, and related Azure services.
- Implement ETL/ELT processes to integrate data from multiple structured and unstructured data sources.
- Build and optimize data lake and data warehouse solutions in Azure Data Lake Storage (ADLS) and Azure Synapse.
- Collaborate with data scientists, analysts, and business stakeholders to deliver scalable data solutions.
- Develop CI/CD pipelines for data workflows using Azure DevOps or equivalent tools.
- Implement data governance, quality, and security best practices following enterprise standards.
- Monitor, troubleshoot, and optimize data solutions for performance and cost efficiency.
- Mentor junior data engineers and provide technical leadership in data solution design.
Required Technical Skills
- Azure Services: Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), Azure SQL Database.
- Programming & Scripting: SQL, Python, PySpark, or Scala.
- Data Modeling: Dimensional modeling, star schema, snowflake schema.
- Version Control & CI/CD: Git, Azure DevOps, or GitHub Actions.
- Workflow Orchestration: ADF pipelines, Databricks jobs.
- Big Data & Distributed Processing: Spark, Delta Lake.
- Data Integration Tools: ETL/ELT design, API integration.
- Performance Optimization: Query tuning, partitioning, caching strategies.
Roles and Responsibilities
Key Responsibilities
- Design, develop, and maintain end-to-end data pipelines using Azure Data Factory (ADF), Databricks, Synapse Analytics, and related Azure services.
- Implement ETL/ELT processes to integrate data from multiple structured and unstructured data sources.
- Build and optimize data lake and data warehouse solutions in Azure Data Lake Storage (ADLS) and Azure Synapse.
- Collaborate with data scientists, analysts, and business stakeholders to deliver scalable data solutions.
- Develop CI/CD pipelines for data workflows using Azure DevOps or equivalent tools.
- Implement data governance, quality, and security best practices following enterprise standards.
- Monitor, troubleshoot, and optimize data solutions for performance and cost efficiency.
- Mentor junior data engineers and provide technical leadership in data solution design.
Required Technical Skills
- Azure Services: Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), Azure SQL Database.
- Programming & Scripting: SQL, Python, PySpark, or Scala.
- Data Modeling: Dimensional modeling, star schema, snowflake schema.
- Version Control & CI/CD: Git, Azure DevOps, or GitHub Actions.
- Workflow Orchestration: ADF pipelines, Databricks jobs.
- Big Data & Distributed Processing: Spark, Delta Lake.
- Data Integration Tools: ETL/ELT design, API integration.
- Performance Optimization: Query tuning, partitioning, caching strategies.
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