الوصف الوظيفي
You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. You are an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
Responsibilities
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep data separated and secure across national boundaries through multiple data centers and regions.
Identify ways to improve data reliability, efficiency and quality
Insure data availability and accessibility by the right parties
Guarantee data pipelines adhere to data governance practices
المهارات
Requirements:
1-3 years experience in data warehousing and big data projects.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing ‘big data’ data pipelines
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Experience with big data tools: Hadoop, Spark, Kafka, etc
Experience with relational SQL and NoSQL databases
Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
Fluent in English & Arabic.
تفاصيل الوظيفة
منطقة الوظيفة الرياض, المملكة العربية السعودية
قطاع الشركة العيادات الطبية
طبيعة عمل الشركة صاحب عمل (القطاع الخاص)
الدور الوظيفي تكنولوجيا المعلومات
نوع التوظيف غير محدد
الراتب الشهري غير محدد
عدد الوظائف الشاغرة غير محدد
المرشح المفضل
المستوى المهني مبتدئ الخبرة
عدد سنوات الخبرة الحد الأدنى: 1
منطقة الإقامة المملكة العربية السعودية
https://www.bayt.com/ar/saudi-arabia/jobs/data-engineer-4279502/
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