Azure Data engineer Job at Anblicks, Dallas, TX

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  • Anblicks
  • Dallas, TX

Job Description

Job Title: Azure Data engineer

Location: Dallas, TX

Duration : Long term

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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