Data Developer

Dicetek LLC; Dubai; On-site; AED 180,000 - 320,000; Full time

Job summary

Dicetek LLC is seeking a Data Developer to lead full‑stack data engineering across hybrid cloud and on‑premise environments in the UAE. You will architect and maintain enterprise data pipelines, data warehouses, and API integrations to support analytics and reporting.

Ideal candidates have 5–7 years of experience, strong SQL/PL/SQL skills, and a proven track record with both cloud and on‑prem data platforms.

Qualifications

• 5–7 years of experience in data engineering, ETL/ELT development, or enterprise data integration.
• Experience designing and maintaining enterprise data pipelines and data warehouses.
• Strong SQL/PL-SQL, stored procedures, and query optimization skills.
• Experience integrating data from multiple systems, cloud platforms, and APIs.
• Familiarity with DevOps, CI/CD, and monitoring of data integration processes.

Responsibilities

• Design, develop, and maintain enterprise data pipelines and ETL/ELT processes.
• Integrate data from various systems, databases, cloud platforms, and APIs.
• Develop and optimize data warehouses, data models, and data quality controls.
• Support analytics, reporting, and digital transformation initiatives.

Skills

Data pipelines

ETL/ELT development

SQL/PLSQL

Data modeling

Data integration

API integration

Performance tuning

DevOps practices

Tools

Informatica

ODI

SAP Data Integrator

Azure Data Factory

Oracle Exadata

Oracle Cloud OCI

Job description

The Data Developer should be a full-stack data engineering professional with expertise in developing integrating and maintaining enterprise data solutions across hybrid cloud and on-premise environments The role requires strong knowledge of ETL ELT development database development data integration data warehousing and API-based integrations to support analytics enterprise reporting and operational systems The Data Developer should ensure reliable secure and high-performance data pipelines while supporting enterprise data platforms and digital transformation initiatives Minimum 5–7 years of experience in data engineering, ETL/ELT development, database development, or enterprise data integration.

• Experience in designing, developing, and maintaining enterprise data pipelines, ETL/ELT processes, and data warehouse solutions.
• Strong expertise in SQL, PL/SQL, database development, stored procedures, query optimization, and performance tuning.
• Hands-on experience in integrating data from multiple enterprise systems, databases, cloud platforms, APIs, and third-party applications.
• Experience with Oracle Database, Oracle Exadata, SQL Server, Hadoop, Azure Data Lake, Microsoft Fabric, Oracle Cloud Infrastructure (OCI), and cloud-based data platforms.
• Expertise in enterprise ETL and data integration tools such as Informatica, Oracle Data Integrator (ODI), SAP Data Integrator, and Azure Data Factory.
• Strong understanding of data warehousing concepts, data modeling, data transformation, data quality, and data security.
• Experience in developing API-based integrations, automation, and batch/real-time data processing solutions.
• Knowledge of DevOps practices, version control, CI/CD pipelines, and monitoring of enterprise data integration processes.
• Experience working with Oracle Fusion ERP, Student Information Systems (SIS), CRM, HR, Finance, and other enterprise applications is highly desirable.
• Experience in higher education data environments and supporting enterprise analytics, AI, and reporting initiatives will be an added advantage.

SkillsETL/ELT developmentdatabase developmentdata integration