Design and implement scalable data pipelines, ETL/ELT processes , and data integrations on Azure.
Build and manage data lakes, data warehouses, and analytics platforms using Azure services.
Develop and optimize Azure Data Factory (ADF) pipelines and data workflows.
Work with large, complex datasets and ensure data quality, lineage, and governance.
Create efficient data models using Azure Synapse Analytics, SQL Database, and Databricks .
Collaborate with data architects, analysts, business teams, and BI developers to deliver end-to-end data solutions.
Implement best practices for performance tuning, cost optimization, and security within Azure.
Automate data processes and workflows using Python, SQL, or PySpark.
Monitor, troubleshoot, and optimize data pipelines for reliability and scalability.
Maintain documentation, data dictionaries, and architectural diagrams.
Azure Data Factory (ADF)
Azure Synapse Analytics / SQL Data Warehouse
Azure Databricks (PySpark/Scala/Python)
Azure Data Lake Storage (ADLS Gen2)
Azure SQL Database / Azure SQL Managed Instance
Strong SQL programming skills
Experience with Python, PySpark, or Scala
Hands-on experience developing ETL/ELT workflows
Understanding of data modeling (star, snowflake), normalization, and warehouse design
Integration with Azure DevOps (Repos, Pipelines)
CI/CD for data pipelines
Azure Functions / Logic Apps (nice to have)
Azure Monitor, Log Analytics for monitoring
Data Lakehouse, Data Warehouse, and Big Data concepts
Delta Lake, Parquet, and optimized storage formats
Data security & governance (RBAC, Managed Identities, Purview optional)
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