Job description
We are seeking an experienced Data Engineer (Py. Spark) 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 Py. Spark 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 (Py.
Spark) 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