Azure Network Engineer

OpenKyber LLC
United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

.NET Framework Application Programming Interfaces (APIs) Airflow Business Analytics Applications Microsoft Azure C Sharp (Programming Language) Cyber Security Continuous Integration Information Engineering Data Integration Extract Transform Load (ETL) Data Warehousing
+21 more
DevOps Web Development Python (Programming Language) Microsoft Data Access Components Microsoft SQL Server Oracle (Applications) Power BI Azure Data Lake SQL Server Integration Services Workflow Management Systems Enterprise Data Management Azure Data Factory Sql Optimization Pyspark Data Lineage Star Schema Restful APIs Terraform Azure Synapse Analytics Data Pipelines Databricks

Job description

Position Summary We are seeking a hands-on Consultant with strong Azure ETL experience and advanced Power BI development skills. They are required to have experience modernizing legacy Microsoft BI environments (including SSIS). This is not an SSIS-only role. The consultant will design, modernize, and enhance enterprise data and analytics solutions supporting Cyber Security, Physical Security, Electronic Security and Police operations. This role includes evolving legacy SQL Server/SSIS-based processes into modern Azure data architectures while designing scalable new ETL/ELT pipelines and delivering executive-level analytics solutions. The consultant will work directly with stakeholders to deliver production-grade reporting and analytics capabilities across multiple enterprise systems. This requires architectural thinking and hands-on technical execution. Core Responsibilities

Requirements

Candidates must have direct experience building enterprise-grade ETL pipelines and executive Power BI dashboards. Design and implement modern ETL/ELT pipelines in Azure Assess and refactor existing SSIS packages as part of broader modernization efforts Architect Lakehouse / Medallion data models Develop optimized dimensional data models (star schema) Integrate data from SQL Server, Oracle, APIs, and security platforms Design and deploy enterprise Power BI dashboards Build paginated reports using Power BI Report Builder Optimize DAX and dataset performance Implement Row-Level Security (RLS) Support CI/CD and DevOps deployment processes Produce technical documentation and data lineage artifacts Engage directly with executive stakeholders Required Technical Skills (Must-Have)

  • Data Engineering & Architecture
  • Strong ETL/ELT design and optimization experience
  • Advanced SQL (expert-level required)
  • Python / PySpark
  • Dimensional data modeling (star schema required)
  • REST API integrations
  • Azure Data Stack
  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse Analytics
  • Azure Data Lake Storage
  • Microsoft Data Platform
  • Experience with SQL Server data warehouse environments
  • Working knowledge of SSIS and experience modernizing or migrating SSIS workflows to Azure-based solutions
  • Power BI
  • Power BI Desktop (expert-level)
  • Advanced DAX
  • Executive dashboard development
  • Paginated reports (Power BI Report Builder)
  • Data Gateway configuration
  • Incremental refresh
  • Row-Level Security (RLS)

Nice to Have

  • Microsoft Purview
  • Terraform (Infrastructure-as-Code)
  • Orchestration tools (Airflow or equivalent)
  • Security systems data integration experience
  • Experience with C# / .NET web application development (for integration with internal systems or APIs)

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · WWC Europe 2026

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · WWC Europe 2026

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · WWC 2024

Videos

See all

Related articles

See all