Specialist Data Engineering

AD Ports Group; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading logistics and maritime services provider in Abu Dhabi is seeking a Data Engineer with over 8 years of experience in data integration and transformation. The role involves designing and maintaining data integration processes, collaborating on data modeling, and ensuring data quality across systems. Ideal candidates should have a Bachelor's degree in a relevant field and proficiency in tools like Informatica and Azure Data Factory. Strong problem-solving and communication skills are essential for this position.

Qualifications

• Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering).
• Understanding of data engineering concepts, ETL, and data integration.
• 8+ years of experience in data engineering.
• 6+ years in implementing data warehouse and business intelligence solutions.
• 4+ years in a similar role.

Responsibilities

• Assist in the design, development, and maintenance of data integration processes.
• Support data transformation and ETL processes.
• Collaborate in creating and maintaining data models.
• Assist in data pipeline workflows.
• Participate in data quality checks and validations.
• Contribute to documentation for data engineering processes.
• Work with cross-functional teams to understand data requirements.
• Assist in troubleshooting data-related issues.

Skills

Data engineering concepts

ETL processes

Data transformation

SQL

Informatica

Azure Data Factory

Python

Snowflake data engineering

Terraform

dbt

Analytical skills

Collaboration

Problem-solving

Education

Bachelor's degree in a relevant field

Tools

Informatica

Azure Data Factory

Python

SQL

Job description

Assist in the design, development, and maintenance of data integration processes to consolidate data from various sources.

Data Transformation: Support data transformation and ETL processes to ensure data quality, accuracy, and compatibility with downstream applications.

Data Modeling: Collaborate in creating and maintaining data models that facilitate reporting, analytics, and data visualization, optimizing data storage and retrieval.

Data Pipeline Orchestration: Assist in data pipeline workflows, ensuring efficient data movement, and supporting infrastructure management.

Data Quality Assurance: Participate in data quality checks, validations, and error handling to maintain data accuracy and integrity.

Documentation: Contribute to the creation and maintenance of documentation for data engineering processes, data models, and data pipeline workflows.

Collaboration: Work with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions.

Troubleshooting: Assist in investigating and resolving data-related issues and errors, ensuring data availability and accuracy.

• Training and Learning: Continuously update your skills and knowledge in data engineering and related technologies through training and learning opportunities.

SECTION III: KNOWLEDGE & SKILLS

Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering).

Understanding of data engineering concepts, ETL, and data integration.

Experience in a wide range of tools and technologies, including but not limited to Informatica, Azure Data Factory, Python for advanced scripting, Snowflake data engineering, Terraform for infrastructure management, and dbt for data transformation.

Familiarity with data engineering tools and technologies, such as SQL, ETL tools, and data modeling.

Strong problem-solving and analytical skills.

Excellent communication and collaboration skills.

• Eagerness to learn and grow in the field of data engineering.

Arabic – Nice to have

• 8+ years of experience.

6+ years in implementing data warehouse and business intelligence solutions in similar industry

• 4+ years of experience working in a similar role