Big Data Engineering Team Member, İstanbul | Koç Kariyerim

We believe that our employees are the foundation of our success. Our vision is to become Turkey's most valuable and preferred industrial company that champions equality in the workplace. Join us in shaping the future of the automotive industry at Ford Otosan!
We are looking for Big Data Engineering Team Member 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.
This position is for our Digital Products & Services Organization. Location is based on Istanbul (Sancaktepe) with hybrid working model.
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 Ford Otosan, 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 automative, manufacturing data, real time triggers, application performance data, network throughput and device debug information

• BS degree or higher in a technology related field (e.g. Computer Science, Math, Information Systems, Industrial Engineering or another quantitative field)
• You have software engineering mindset. You may even be a software engineer with a focus or passion for data-driven solutions.
• Minimum 3+ year experience in designing, building and managing applications to process large amounts of data in a (Cloudera) Hadoop ecosystem
• Have programming proficiency in SQL, Python and 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, Apache 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