محلل بيانات Data Engineer بدوام كامل في أبوظبي
التخصص
تكنولوجيا المعلومات
نوع الدوام
دوام كامل
الخبرة
أي مستوى
الموقع
أبوظبي
وصف الوظيفة
🗂 We’re Hiring: Data Engineer🕒 Employment Type: Full-Time💼 Level: Mid-Level to SeniorWe are seeking a skilled and analytical Data Engineer to design, develop, and maintain scalable data infrastructure, pipelines, and systems that support business intelligence, analytics, and data-driven decision-making. This role will work closely with Data Scientists, Analysts, Software Engineers, and business stakeholders to ensure data is reliable, accessible, secure, and optimized for organizational needs.🎯 Key Responsibilities• Design, develop, and maintain scalable data pipelines and data processing systems.• Build and optimize ETL and ELT processes for collecting, transforming, and integrating data from multiple sources.• Develop and maintain data warehouses, data lakes, databases, and data platforms.• Integrate data from APIs, applications, databases, cloud platforms, and third-party systems.• Develop complex SQL queries, data transformations, stored procedures, and data processing workflows.• Ensure data quality, accuracy, consistency, availability, and security across data platforms.• Monitor data pipelines and infrastructure performance and troubleshoot data-related issues.• Identify and resolve data quality problems, pipeline failures, performance bottlenecks, and integration issues.• Design efficient data models, schemas, tables, and data structures to support analytical and operational requirements.• Collaborate with Data Analysts and Data Scientists to prepare high-quality datasets for reporting, analytics, and machine learning initiatives.• Support the development of dashboards, reports, and business intelligence solutions by providing reliable and well-structured data.• Implement data validation, monitoring, testing, and governance processes.• Optimize data processing performance, storage efficiency, and infrastructure costs.• Support cloud-based data engineering solutions using platforms such as AWS, Microsoft Azure, or Google Cloud.• Maintain technical documentation covering data pipelines, architectures, processes, integrations, and data models.• Participate in data migration, platform modernization, system integration, and digital transformation projects.• Stay updated with emerging data engineering technologies, cloud platforms, frameworks, and industry best practices.✅ Requirements• Proven experience in Data Engineering, Data Development, Software Engineering, or a related technical role.• Strong proficiency in SQL and experience working with relational and non-relational databases.• Experience developing ETL/ELT pipelines and data integration solutions.• Strong understanding of data modeling, database design, data warehousing, and data architecture.• Experience with programming languages such as Python, Java, Scala, or similar technologies.• Familiarity with data engineering tools and frameworks such as Apache Spark, Airflow, Kafka, dbt, or similar platforms is an advantage.• Experience with cloud data platforms such as AWS, Microsoft Azure, or Google Cloud is preferred.• Strong understanding of data quality, data governance, security, and access control principles.• Experience with data warehouses or platforms such as Snowflake, BigQuery, Redshift, Databricks, or similar technologies is an advantage.• Strong analytical and problem-solving skills with excellent attention to detail.• Familiarity with Git, CI/CD, version control, and software development practices.• Ability to work effectively with Data Scientists, Data Analysts, Software Engineers, IT teams, and business stakeholders.• Strong communication and documentation skills.• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, Software Engineering, Mathematics, or a related field is preferred.• Relevant cloud, database, or data engineering certifications are an advantage.🌟 What We Offer• Opportunity to build and manage scalable data infrastructure supporting business-critical applications and analytics.• Exposure to cloud computing, data platforms, big data technologies, data architecture, business intelligence, and machine learning.• Opportunity to work on data-driven transformation and large-scale technology initiatives.• Career progression into Senior Data Engineer, Data Architect, Analytics Engineer, Cloud Data Engineer, Data Platform Engineer, Lead Data Engineer, or Data Engineering Manager roles.• A technology-driven, collaborative, and innovation-focused work environment.• Training, mentorship, and professional development opportunities.• Competitive compensation and comprehensive benefits package.
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