About
Develop, manage, and maintain
Power BI
reports and dashboards, ensuring high performance and reliable data flow. Administer
Power BI service , configure workspaces, datasets, security roles, and refresh schedules. Design, implement, and optimize
Azure SQL Databases
to store, process, and retrieve business-critical data. Create, deploy, and maintain
Azure Data Factory pipelines
for seamless data integration and transformation. Build and manage
Azure Logic Apps
and
Power Apps
to streamline automation and business processes. Collaborate with both technical and non-technical stakeholders to gather requirements and deliver data solutions that meet business needs. Utilize
Azure Databricks
to manage data processing, transformations, and analytics. Develop scripts and tools using
Python
for data engineering, automation, and analysis tasks. Utilize
DAX
and
PowerQuery
to create and optimize data models in Power BI. Perform advanced data manipulation, analysis, and visualization in
Skills
Microsoft Excel . Ensure high data quality, integrity, and security in all systems and solutions. Troubleshoot, debug, and optimize existing reports, pipelines, and data workflows. Provide documentation and training for end-users on the use of data solutions, reports, and dashboards. Support the broader team and business in leveraging data-driven insights to drive strategic decisions. Knowledge, Skills, and Abilities:
Strong experience with
Power BI , including dashboard creation, report development, and Power BI service management. Proficient in managing and working with
Azure SQL Databases
and
Azure Data Factory . Experience with
Azure Logic Apps ,
Power Apps , and
Azure Databricks
for data integration, automation, and analysis. Advanced proficiency in
DAX
and
PowerQuery
for creating complex data models and optimizing Power BI reports. Some knowledge of
Python
for data engineering and automation tasks is a plus. Proficient in
Microsoft SQL Server
and
MySQL
for database design, querying, and management. Highly proficient in
Microsoft Excel
Minimum Of 3 Years Of Experience
for advanced data analysis and visualization. Ability to translate business requirements into technical solutions for both technical and non-technical audiences. Strong problem-solving, analytical, and troubleshooting skills. Collaborative team player with excellent communication skills. Education/Experience:
in data engineering and Power BI development. Experience working with
cloud-based environments , especially
Azure . Knowledge of data warehousing concepts and best practices. Familiarity with
ETL processes
and
data pipeline automation . Knowledge of other data visualization tools and programming languages is a plus. Ability to work and complete tasks with minimal guidance.
Nice-to-have skills
• Power BI
• Azure Data Factory
• Python
• Microsoft Excel
• MySQL
• North Carolina, United States
Work experience
• Data Engineer
• Data Infrastructure
Languages
• English
Location: United States
Posted: March 7, 2025, 1:37 a.m.
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