Bu İşi Paylaş

Big Data Engineer

Şimdi Başvur »

Tarih: 31.Mar.2021

Konum: Istanbul, TR

Şirket: Vodafone


COVID-19 Notice: We are continuing recruitment and have implemented new processes that promote candidate and employee safety. As part of this we have moved to a virtual hiring and onboarding process until further notice.
 

 

                                                               
Join our journey as we connect for a better future. Ready?
We are looking for a Big Data Engineer

 

 


#Vodafonespirit

 

 

Our purpose at Vodafone is to connect for a better future. As a Global Communications Technology company, we put the customer at the heart of everything we do. We are forever challenging, pushing boundaries and discovering innovative ways to connect our customers with their digital societies.

 

We connect people, businesses, and communities across the globe to create the future. We earn customer loyalty, experiment, learn fast and get it done, together. As you can imagine, this means that we have a vibrant and diverse mix of skills and people making Vodafone a great place to work.

 

 

 

ROLE PURPOSE

 

•    We are looking for a Big Data Engineer with experience in designing, building and managing applications to process large amounts of data in a Hadoop/ Spark ecosystem. You’ll provide expert guidance to source and integrate structured and unstructured data from dozens of local data sources including streaming data feeds into a data lake.
•    As a Big Data Engineer, you will work closely with the team and our stakeholders to build and deliver our Hadoop based solutions for a next generation Big Data Analytics platform.  You will have a focus on realtime data streaming, data management, data quality, data security and deliver the systems that process huge volumes of data. 
•    At Vodafone, we don’t just produce creative products, we develop amazing people too. We are driven to empower people.  We are committed to helping our people perform at their best and achieve their full potential. 

 

 


Your place in the team


•    You’ll be designing and producing high performing and stable applications to perform complex processing of petabyte scale data in a Hadoop based environment.
•    Building real-time data stream applications which are integrated with business systems to enable value from analytic models to drive rapid decision making
•    Sourcing, ingesting, wrangling and validating data sets, building pipelines to transform data and produce analytical records for machine learning
•    You’ll have extensive experience with performance tuning applications on Hadoop and configuring Hadoop based systems to maximise performance.
•    You'll take ownership and increase automation and scale of complex data sets that drive use cases by our analytical partners. This includes Telco data, real time triggers, application performance data, network throughput and device debug information.

 

 

 

We are looking for you if you have

 

-    BS degree or higher in a technology related field (e.g. Computer Science, Math, Information Systems, Industrial Engineering or another quantitative field)
-    You have a software engineering mindset. You may even be a software engineer with a focus or passion for data-driven solutions.
-    Minimum 4 years experience in designing, building and managing applications to process large amounts of data in a (Cloudera) Hadoop ecosystem 
-    Have programming proficiency in SQL, Python, or Scala/Java
-    You’ll build robust data pipelines that output very high data quality at scale using combination of Apache Spark, Spark Streaming, Apache Kafka, Nifi or Flink, Python or Scala.
-    Building real-time data processing applications which are integrated with business systems to enable value from analytic models to drive rapid decision making 
-    Experience in designing, building and managing applications to process large amounts of data in a Hadoop ecosystem
-    Experience with Linux systems, including bash programming
-    Experience with noSQL distributed databases like Apache Hbase, Apache Phoenix and Apache Kudu
-    Experience with other distributed technologies such as Cassandra, Solr/ElasticSearch, MongoDB is a plus
-    Experience with data pipeline and workflow management tools (Apache Airflow, etc.) is a plus

 

 

 

Get to know us

 

If you want to know more about us and what we do, then visit our website: www.vodafone.com.tr
Instagram: https://www.instagram.com/vodafonekariyer/
Youtube: https://www.youtube.com/user/VFTurkiye

 

 

 

Diversity and Inclusion

 

At Vodafone, we embrace and welcome everyone. We believe that we can operate more successfully and effectively with diverse teams. And we can only leverage this diversity by building an inclusive culture where everyone is respected, can be themselves and strive to be their best. That way we can create a better future for our employees, our partners, the communities we work in and our customers.