Agilysis

PHP Reports Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a PHP Reports Developer with a contract length of "unknown," offering a pay rate of "unknown." Requires a Bachelor’s degree, 4–10 years of experience, proficiency in PHP, SQL, cloud tools (PySpark, Azure), and strong data analytics skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 11, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Spark (Apache Spark) #Computer Science #Redshift #"ETL (Extract #Transform #Load)" #RDS (Amazon Relational Database Service) #SQL (Structured Query Language) #Data Engineering #PHP #Microsoft Power BI #AWS (Amazon Web Services) #Data Processing #Data Cleaning #Cloud #PySpark #GIT #Jira #Data Manipulation #S3 (Amazon Simple Storage Service) #Azure Data Factory #Azure #ADF (Azure Data Factory) #BI (Business Intelligence) #Complex Queries #DevOps #Docker #Microsoft Azure
Role description
PHP & Data Engineering Developer Education & Experience: • Bachelor’s degree in computer science, Information Technology, or a related field. • 4–10 years of experience in software or data engineering roles. Technical Skills: • Proficient in PHP development and troubleshooting issues. • Strong SQL skills for writing and optimizing complex queries. • Experience with cloud data processing tools like PySpark. • Familiarity with Microsoft Fabric, Azure Data Factory, and other Azure services. • Hands-on experience with DevOps tools such as Git, JIRA, Docker, and CI/CD pipelines. • Working experience in Cloud environments e.g., Microsoft Azure, AWS • Exposure to AWS cloud services like S3, RDS, Redshift or similar services in Azure Data & Analytics: • Skilled in data cleaning, transformation, and integration from multiple sources. • Experience building dashboards and reports using Power BI. • Strong Excel, data manipulation data analytics skills. Soft Skills: • Strong analytical and problem-solving abilities. • Willingness to learn new technologies and adapt to evolving project needs. • Ability to explore innovative solutions to data challenges using industry best practices.