Data Engineer (PySpark) (United Arab Emirates) Abu Dhabi

Requirements

Requires strong proficiency in Python, PySpark, and SQL with proven experience in CI/CD and pipeline automation. Mandatory previous experience in deploying and tuning data pipelines in production environments is required.

Job Summary

We are seeking an experienced Data Engineer (PySpark) to design, build, optimize, and maintain scalable data pipelines for production environments. The role requires strong hands-on experience in big data processing, pipeline optimization, and deployment using modern data engineering tools and frameworks.
Key Responsibilities
Design, develop, and maintain robust, scalable data pipelines using Python and PySpark
Perform data ingestion, transformation, cleansing, and validation across structured and unstructured datasets
Conduct Exploratory Data Analysis (EDA) to identify data patterns, anomalies, and quality issues
Apply data imputation techniques, data linking, and cleansing to ensure high data quality
Implement feature engineering pipelines to support analytics and downstream use cases
Optimize Spark jobs for performance, scalability, and cost efficiency
Deploy and tune production-grade data pipelines, ensuring reliability and performance
Automate workflows using Apache Airflow and/or Jenkins
Collaborate with cross-functional teams to integrate data solutions into production systems
Write and maintain unit tests to ensure code quality and reliability
Manage source code, CI/CD, and deployments using Git, GitHub, and GitHub Actions

Requirements
To be considered for this role, you need to meet the following criteria:

Required Technical Skills
Strong proficiency in Python
Extensive hands-on experience with Apache Spark (PySpark)
Experience working with Jupyter Notebooks
Strong knowledge of SQL and NoSQL databases
Proven experience with Git for version control and CI/CD
Hands-on experience with Apache Airflow and/or Jenkins for scheduling and automation
Solid understanding of data engineering best practices in production environments
Demonstrated experience in Spark performance tuning and optimization
Ability to write clean, testable, and maintainable Python code
Mandatory Requirement
Previous production experience is a MUST, specifically in deploying, tuning, and maintaining data pipelines in production environments
Preferred Qualifications
Experience working in high-volume or big data environments
Strong problem-solving and analytical skills
Ability to work independently in a fast-paced environment
Why Join?
Competitive salary package
Opportunity to work on production-scale data platforms
Exposure to modern data engineering tools and practices
Dubai-based role with a dynamic and collaborative work environment

To view other requirements we have, please visit our website – www.blackpearlconsult.com

Responsibilities

Design, build, and maintain scalable production data pipelines using Python and PySpark. Optimize Spark jobs for performance and automate workflows using Airflow and Jenkins.

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