Role- Azure Data Engineer
Locations- Dallas, TX (Local to TX)
Durations- 6+ Months
Exp Level- 8+ yrs
USC/GC/H4/H1 only
Note- LinkedIn prior 2016.
Roles and Responsibilities.
Develop and manage Snowflake stored procedures, UDFs, and performance tuning techniques.
Implement access controls, row-level security, and data masking policies for secure data handling.
Integrate Snowflake with Azure Data Factory, external APIs, and data lakes for hybrid cloud solutions.
Good understanding on Snowflake RBAC and Roles and User Management.
Design and orchestrate scalable data pipelines using ADF for batch and near real-time data ingestion.
Develop ADF pipelines for data integration, transformation, and movement across multiple sources.
Implement parameterized pipelines, Linked Services, Datasets, and Triggers to support modular data workflows.
Monitor, troubleshoot, and optimize ADF pipeline performance and cost-efficiency.
Integrate ADF with Synapse, Snowflake, Azure Key Vault, and Logic Apps as part of end-to-end solutions.
Develop and optimize Synapse SQL scripts, stored procedures, and data flows for analytics workloads.
Implement Synapse Pipelines and Spark Notebooks for advanced transformation and machine learning use cases.
Perform data warehousing activities including partitioning, indexing, and materialized views.
Integrate Synapse with Power BI, Azure ML full-stack data insights.
Ensure efficient utilization of Dedicated SQL Pools and Serverless resources.
Synapse Administration ,RBAC understanding and User management from Azure Entra.
Set up and maintain CI/CD pipelines for ADF.
Implement version control, code branching strategies, and peer code reviews for collaborative development.
Configure release pipelines to handle environment-specific configurations using variable groups and templates.
Monitor pipeline runs, manage build/release failures, and enforce security and compliance during deployments.
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