DATA Engineer

Client of PENTABELL; United Arab Emirates; On-site; AED 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineer to design and maintain data infrastructure that enhances business value. In this role, you will develop secure data pipelines and collaborate with cross-functional teams to implement effective data solutions. Your expertise in data engineering tools and cloud platforms will be vital in optimizing data access and ensuring data quality. Join a dynamic team in the banking sector, where your contributions will directly impact data-driven decision-making and analytics. This is an exciting opportunity to advance your career in a thriving environment focused on innovation and excellence.

Qualifications

• 5+ years of experience in Data Engineer roles within the Banking industry.
• Proficiency in data engineering tools and cloud platforms.

Responsibilities

• Design and develop scalable data pipelines using modern ETL tools.
• Implement and maintain data warehousing solutions for reporting needs.

Skills

Data Engineering

ETL Tools

SQL

NoSQL

Python

Java

Apache Kafka

Spark

Hadoop

Cloud Platforms (AWS/GCP)

Education

Bachelor's degree in Computer Science

Tools

Apache Kafka

Spark

Hadoop

AWS

GCP

Job description

Position:

Data Engineer

Summary:

As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure to ensure efficient data processing and storage. You will collaborate with cross-functional teams to identify and implement data solutions that drive business value.

Responsibilities:

1. Design and develop scalable, reliable, and secure data pipelines using modern ETL tools.
2. Implement and maintain data warehousing solutions to support reporting and analytics needs.
3. Collaborate with data scientists and analysts to optimize data access and improve query performance.
4. Ensure data quality by implementing validation rules and monitoring data integrity.
5. Participate in code reviews, design sessions, and technical discussions to ensure best practices are followed.

Requirements:

• Bachelor's degree in Computer Science or a related field
• Minimum 5 years of experience in Data Engineer roles within the Banking industry
• Proficiency in data engineering tools such as Apache Kafka, Spark, and Hadoop
• Strong knowledge of SQL and NoSQL databases for data storage and retrieval
• Experience with cloud platforms like AWS or GCP for data management
• Familiarity with data governance principles and best practices
• Ability to write efficient and maintainable code in Python or Java

Does this offer catch your interest?

Company Industry

• Banking
• Broking

Department / Functional Area

• IT Software

Keywords

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