Data Engineer

Signature Socials LLC; Dubai; Hybrid; AED 240,000 - 320,000; Full time

Benefits offered by this job

Competitive salary

Career development

Collaborative culture

Flexible/hybrid work

Job summary

Signature Socials LLC seeks a Data Engineer to design and maintain scalable data pipelines and architectures that support analytics and BI initiatives. You will integrate data from multiple sources, ensure data quality, and work with analysts and scientists to optimize workflows.

The role demands strong SQL/Python skills, experience with data warehousing and cloud platforms, and familiarity with big data technologies.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• Proven experience with SQL, Python, and data pipeline frameworks.
• Strong understanding of data warehousing concepts and cloud platforms (AWS, Azure, Google Cloud).
• Experience with big data technologies such as Spark, Hadoop, or Kafka is an advantage.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures to support analytics and business intelligence initiatives.
• Integrate data from multiple sources, ensuring consistency, reliability, and data quality.
• Collaborate with data analysts, scientists, and stakeholders to define data requirements and optimize data workflows.
• Implement ETL processes for structured and unstructured data.
• Monitor and troubleshoot data systems to ensure performance, security, and efficiency.
• Document data processes, system configurations, and best practices.

Skills

SQL

Python

Data Pipelines

Cloud Platforms

Data Warehousing

Big Data

Education

Bachelor’s degree in CS/DI or related

Tools

Apache Spark

Apache Hadoop

Kafka

Job description

Job Description:

Design, develop, and maintain scalable data pipelines and architectures to support analytics and business intelligence initiatives.

Integrate data from multiple sources, ensuring consistency, reliability, and data quality.

Collaborate with data analysts, scientists, and other stakeholders to define data requirements and optimize data workflows.

Implement ETL (Extract, Transform, Load) processes for structured and unstructured data.

Monitor and troubleshoot data systems to ensure performance, security, and efficiency.

Document data processes, system configurations, and best practices.

Requirements:

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.

Proven experience with SQL, Python, and data pipeline frameworks.

Strong understanding of data warehousing concepts and cloud platforms (e.g., AWS, Azure, or Google Cloud).

Experience with big data technologies such as Spark, Hadoop, or Kafka is an advantage.

Excellent problem-solving, analytical, and communication skills.

Ability to work both independently and collaboratively in a fast-paced environment.

Benefits:

Competitive salary and performance-based incentives.

Opportunities for professional development and technical training.

Innovative and collaborative work culture.

Flexible or hybrid working arrangements.