مهندس بيانات Informatica (Informatica Data Engineer)

تبحث شركة Systems Arabia عن مهندس بيانات في عمّان للعمل على تطوير وصيانة حلول معالجة البيانات على مستوى المؤسسة. يركز الدور على بناء خطوط أنابيب ETL/ELT باستخدام Informatica Big Data Management و Apache Spark، مع التركيز على تحسين الأداء والتعامل مع مجموعات البيانات الكبيرة والمعقدة.

تفاصيل الوظيفة

  • الشركة: Systems Arabia
  • المدينة: عمّان (Amman)
  • الدولة: الأردن (Jordan)
  • نوع الدوام: دوام كامل (Full Time)
  • المستوى: متوسط إلى أول (Mid-Senior level)
  • المجال: هندسة البيانات (Data Engineering)

الوصف الكامل لهذه الوظيفة ومتطلباتها وإجراءات التقديم عليها باللغة الإنجليزية، وهي معروضة أدناه كما وردت من صاحب العمل دون أي تعديل أو ترجمة.

Job Summary

Systems Arabia is seeking a Data Engineer to design, develop, and maintain scalable data integration and processing solutions. The role focuses on building ETL/ELT pipelines using Informatica Big Data Management and Apache Spark across enterprise data platforms.

Responsibilities

  • Design, develop, and maintain data pipelines using Informatica BDM
  • Develop and optimize large-scale data processing workflows using Apache Spark and PySpark
  • Build ETL/ELT processes for batch and near-real-time data processing
  • Perform data extraction, transformation, cleansing, and loading from multiple source systems
  • Develop Informatica mappings, workflows, transformations, and reusable components
  • Troubleshoot performance, data quality, and production issues across Informatica and Spark pipelines
  • Optimize ETL workflows, Spark jobs, SQL queries, and data processing performance
  • Collaborate with Data Architects, Data Analysts, and engineering teams to implement data solutions

Requirements

  • 4–7 years of hands-on experience in Data Engineering, ETL, or Big Data technologies
  • Strong hands-on experience with Informatica Big Data Management (BDM)
  • Strong experience with Apache Spark; PySpark experience is highly preferred
  • Good understanding of Informatica mappings, workflows, transformations, and data integration processes
  • Strong SQL skills with experience in query development and performance optimization
  • Experience working with Hadoop ecosystem technologies such as HDFS and Hive
  • Experience handling large-scale structured and unstructured datasets
  • Strong understanding of ETL/ELT concepts and data warehousing principles
  • Good knowledge of Python or Scala for data processing and automation
  • Experience with Linux/Unix environments and shell scripting

We refresh listings regularly, but some roles close early on the source platform.

Country: الأردن
City: عمّان
Job Category: هندسة البيانات
Job Type: دوام كامل
Company Name: Systems Arabia
Seniority level: متوسط إلى أول

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