Senior Data Engineer (2-Months) Contract

BlackStone eIT; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A technology company in the UAE is seeking a Senior Data Engineer for a 2-month contract to develop and optimize their data infrastructure. This role involves designing data pipelines, implementing ETL processes, and collaborating with stakeholders to meet data needs. The ideal candidate has a Bachelor's degree in a related field and at least 5 years of experience, with strong skills in SQL and data pipeline tools.

Benefits

Paid Time Off

Performance Bonus

Training & Development

Qualifications

• Minimum 5 years of experience as a Data Engineer or related position.
• Experience with data pipeline and ETL tools.
• Ability to manage multiple priorities under tight deadlines.

Responsibilities

• Design and develop data pipelines for batch and real-time processing.
• Implement ETL processes for accurate data flow.
• Optimize existing data infrastructures.

Skills

SQL proficiency

Data pipeline development

ETL process implementation

Analytical skills

Problem-solving skills

Communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Relational databases

NoSQL databases

AWS

Azure

Job description

Overview

BlackStone eIT is seeking a highly motivated Senior Data Engineer for a 2-month contract to assist in the development and optimization of our data infrastructure. This temporary role will provide the opportunity to work on critical projects and make an immediate impact within our team. As a Senior Data Engineer, you will design and implement data pipelines, ensuring the efficient processing and analysis of large sets of data. Your expertise will enhance our data management strategies and support data-driven decision-making across the organization within a tight timeframe.

Key Responsibilities

• Design and develop data pipelines for both batch and real-time data processing.
• Implement ETL processes, ensuring timely and accurate data flow from various sources.
• Optimize existing data infrastructures for improved performance and accessibility.
• Collaborate closely with data analysts and business stakeholders to understand their data needs.
• Conduct data quality assessments and implement solutions to improve data integrity.
• Document processes and workflows for future reference.
• Quickly troubleshoot and resolve any data-related issues that.

Paid Time Off Performance Bonus Training & Development

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• At least 5 years of experience as a Data Engineer or related position.
• Proficiency in SQL and experience with relational and NoSQL databases.
• Strong skills in data pipeline and ETL tools.
• Experience with cloud platforms (e.g., AWS, Azure).
• Ability to work effectively under tight deadlines and manage multiple priorities.
• Excellent analytical and problem-solving skills.
• Strong communication skills to collaborate with cross-functional teams.