Data Engineer

Dicetek LLC; Abu Dhabi; On-site; AED 240,000 - 380,000; Full time

Job summary

Dicetek LLC seeks an experienced Data Engineer to design, develop and maintain scalable ETL/ELT pipelines and cloud-based data platforms for enterprise analytics and reporting.

You will build data models, data warehouses, and real-time processing solutions while collaborating with data scientists and business teams, ensuring data quality and performance.

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Engineering, or a related field.
• Experience building scalable ETL/ELT pipelines and data integrations in cloud environments.
• Strong understanding of data modeling, data warehouses and real-time processing.

Responsibilities

• Design, develop and maintain scalable ETL/ELT pipelines and data platforms.
• Build data integration and transformation solutions using cloud technologies.
• Support AI/ML analytics workloads and collaborate with data scientists and business teams.

Skills

Databricks

PySpark

Python

SQL

Education

Bachelor's/Master's in CS/Engineering/Data Engineering

Tools

Azure Data Factory

Azure Data Lake

Delta Lake

Kafka

Job description

We are looking for an experienced strong Data Engineer strong with strong expertise in building scalable strong ETL ELT pipelines data integration frameworks and cloud-based data solutions strong The candidate will be responsible for developing reliable data platforms to support enterprise analytics AI and reporting requirements strong Key Responsibilities

Key Responsibilities

• Design develop and maintain scalable strong ETL ELT data pipelines build data integration and transformation solutions using cloud technologies develop strong data models data warehouses and real-time data processing strong solutions implement data quality validation security and performance optimisation practices support strong AI ML and analytics workloads strong and collaborate with Data Scientists and business teams implement strong CI CD and MLOps strong practices for automated and reliable data deployments Databricks, Azure Data Factory, Azure Data LakePySpark, Python, SQL, Delta LakeKafka / Real-time data processingETL/ELT, Data Modelling & Data WarehousingData Quality & Performance OptimisationCI/CD, MLOps and Cloud Data EngineeringEducation: Bachelor’s/Master’s degree in Computer Science, Engineering, Data Engineering, or a related field.SkillsDatabricksAzure Data FactoryPySpark