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اسنپ فود | Snappfood

تاسیس در ۱۳۸۸ کامپیوتر، فناوری اطلاعات و اینترنت بیش از ۱۰۰۰ نفر snappfood.ir

استخدام Data Engineer

  • دسته‌بندی شغلی

    وب،‌ برنامه‌نویسی و نرم‌افزار
  • موقعیت مکانی

    تهران ، تهران
  • نوع همکاری

    تمام وقت
  • حداقل سابقه کار

    سه تا شش سال
  • حقوق

    توافقی

شرح موقعیت شغلی

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 analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other critical 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 
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader 
  •  Work with data and analytics experts to strive for greater functionality in our data systems 
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management ·  Design and implement ETLs for transforming data 
  •  Be an advocate for best practices and continued learning
  • Monitoring data services and resolving issues in case of any incident 
Requirements:

  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field 
  •  2+ years of experience in a Data Engineer role
  •  Experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  •   Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience with data pipeline and workflow management tools.
  • Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
  •  Experience With Kafka and Kafka Connect
  •  Experience With Debezium
  • Experience With Apache Airflow
  • A successful history of manipulating, processing, and extracting value from large disconnected datasets 
  • Advanced working SQL knowledge.
  • The skill of explaining technical concepts to non-technical business leaders
  •  Strong analytic skills related to working with unstructured datasets
  •  Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
  •  Working knowledge of SQL Server integration service
  •  Expert in Data Warehouse Design and BI fundamentals.
  • Capacity to successfully manage a pipeline of duties with minimal supervision. 
  •  Comfort working in a dynamic, research-oriented team with concurrent projects
  • Excellent communication skills, working with various peer groups and different levels of management
  • Great attention to detail and proven ability to manage multiple priorities simultaneously
  •  detail-oriented, while also seeing and understanding the big picture
  • comfortable with ambiguity in a fast-paced and ever-changing environment 

معرفی شرکت

اسنپ‌فود بزرگترین سرویس آنلاین سفارش غذا در ایرانه که در کنار غذا، سرویس‌هایی از جمله سفارش نان، پروتئین، شیرینی و میوه رو هم در خودش داره.
همراهی صمیمانه و اعتماد بیش از ۵ میلیون کاربر ما رو بر این داشته که همواره به دنبال خلق پدیده‌های تازه و راهی برای خدمت‌رسانی بهتر و باکیفیت‌تر باشیم.
ما در این مسیر علاقه‌مند به همکاری با افرادی هستیم که با هوشمندی و سرعت عملشون در عبور از چالش‌ها و مسائل کسب‌وکار یاریگرمون باشن.
  • مهارت‌های مورد نیاز

    Python Big Data Data engineer SQL
  • جنسیت

    مهم نیست
  • وضعیت نظام وظیفه

    مهم‌ نیست
  • حداقل مدرک تحصیلی

    کارشناسی

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