Job Description

Location

: Dubai

Who Can Apply:

Candidates who are currently in Dubai

Job Type:

Contract

Experience:

Minimum 8+ years

Job Summary:

We are looking for an experienced

Data Engineer

to design, develop, and optimize data pipelines, ETL processes, and data integration solutions. The ideal candidate should have expertise in AWS cloud services, data engineering best practices, open-source tools, and data schema design. The role requires hands-on experience with large-scale data processing, real-time data streaming, and cloud-based data architectures.

Key Responsibilities:

Develop and Maintain Data Pipelines

to process structured and unstructured data efficiently.

Implement ETL/ELT Workflows

for batch and real-time data processing.

Optimize Data Processing Workflows

using distributed computing frameworks.

Ensure Data Integrity and Quality

through data validation, cleaning, and transformation techniques.

Work with AWS Cloud Services

, including S3, Redshift, Glue, Lambda, DynamoDB, and Kinesis.

Leverage Open-Source Tools

like Apache Spark, Airflow, Kafka, and Flink for data processing.

Manage and Optimize Database Performance

for both SQL and NoSQL environments.

Collaborate with Data Scientists and Analysts

to enable AI/ML model deployment and data accessibility.

Support Data Migration Initiatives

from on-premise to cloud-based data platforms.

Ensure Compliance and Security Standards

in handling sensitive and regulated data.

Develop Data Models and Schemas

for efficient storage and retrieval.

Required Skills & Qualifications:

8+ years of experience

in data engineering, data architecture, and cloud computing.

Strong knowledge of AWS Services

such as Glue, Redshift, Athena, Lambda, and S3.

Expertise in ETL Tools

, including Talend, Apache NiFi, Informatica, dbt, and AWS Glue.

Proficiency in Open-Source Tools

such as Apache Spark, Hadoop, Airflow, Kafka, and Flink.

Strong Programming Skills

in Python, SQL, and Scala.

Experience in Data Schema Design

, normalization, and performance optimization.

Knowledge of Real-time Data Streaming

using Kafka, Kinesis, or Apache Flink.

Experience in Data Warehouse and Data Lake Solutions

.

Hands-on experience with DevOps and CI/CD Pipelines

for data engineering workflows.

Understanding of AI and Machine Learning Data Pipelines

.

Strong analytical and problem-solving skills

.

Preferred Qualifications:

AWS Certified Data Analytics - Specialty or AWS Solutions Architect certification. Experience with Kubernetes, Docker, and serverless data processing. Exposure to MLOps and data engineering practices for AI/ML solutions. Experience with distributed computing and big data frameworks.

Job Category:

Information Technology

Job Type:

Contract

Job Location:

Dubai

Languages:

English

Experience:

8 + Years