Big Data Engineer
1 днів тому

Meet , the first integrated Growth Management Platform (GMP).Insider Growth Management Platform (GMP) helps digital marketers drive growth across the funnel, from Acquisition to Activation, Retention, and Revenue.

Leveraging real-time predictive segmentation powered by deep Artificial Intelligence and Machine Learning capabilities, Growth Management Platform empowers marketers to deliver personalized journeys across the web, mobile web, mobile apps, and ad channels.

Built on a unified data layer, GMP is easy to implement and simple to use, avoiding the need for complex integrations and dependency on IT teams.

Insider simplifies the life of digital marketers and helps them drive growth for their brands, with zero marketing waste.

Insider is a technology company with offices in London, Singapore, Tokyo, Hong Kong, Seoul, Sydney, Helsinki, Barcelona, Dubai, Moscow, Warsaw, Taipei, Jakarta, Istanbul, Kiev, Ho Chi Minh City, Bangkok, Ankara and Kuala Lumpur.

Insider was listed as one of Europe’s 100 Hottest Startups by WIRED Magazine and won Red Herring Top 100 Europe in 2017.

CrunchBase has recently ranked Insider’s co-founder and CEO Hande Cilingir as one of the top three women CEOs outside of the US.

Some of the most prestigious Fortune 500 companies and top brands in retail, automotive and travel across the globe use Insider to deliver AI-

backed personalized experiences. Helping world’s leading brands grow beyond the speed of customer expectations, Insider is trusted by over 400 businesses across various industries including UNIQLO, Singapore Airlines, Tokopedia, Virgin, New Balance, Nissan, Huawei, Samsung, Puma, Newsweek, Media Markt, AVIS, Allianz, BBVA, Dominos, McDonald’s, Avon and CNN.

Our engineers and developers are constantly harnessing the full force of the digital world to make a great impact, nurturing their work with innovation and shipping like artists to create beautiful and smart products.

The product development and the technical team is located in Istanbul. Currently, we are running 120+ servers on an average, 75 Million requests, and sending 200 Million push notifications per day.

In predictive we have accomplished to capture more than 50TB of historical data. We also successfully reached 25% of the global population.

So do you want to work with an International team to be part of a team that inspires and challenges the technology to grow in Kiev, the heart of Engineering?

If yes, then join our team as a Big Data Engineer and actively shape the future of the technology world.Our Engineering Culture : -

Our team believes collaboration and fast iteration.- We work in small agile groups to solve sophisticated and high impact problems.

  • We work closely with other engineer teams and don’t afraid to get our hands dirty with other areas if needed.- We don’t wait for jobs, we create them.
  • Because in a startup, nothing happens by itself. Not unless we make it.

    Skills and Requirements

  • Studied Computer Science,
  • 5+ years of software development experience,
  • Must have experience in Elasticsearch (2+ years experience is preferable),
  • Skills in Java, Python or Scala,
  • Passionate about learning big data, data mining and data analysis technologies,
  • Self-motivated; independent, organized and proactive; highly responsive, flexible, and adaptable when working across multiple teams,
  • Strong SQL skills, including query optimization are required.
  • Experience working with large, complex datasets is required,
  • Experience with recommendation systems and data warehouse technologies are preferred,
  • You possess an intense curiosity about data and a strong commitment to practical problem-solving,
  • Creative in thinking data centric products which will be used in online customer behaviors and marketing,
  • Build systems to pull meaningful insights from our data platform,
  • Integrate our analytics platform internally across products and teams,
  • Focus on performance, throughput, latency and drive these throughout our architecture.
  • Bonuses-Experience with big data architectures such as Lambda Architecture.-Experience working with big data technologies (like Hadoop, Java Map / Reduce, Hive, SparkSQL), real-

    time processing frameworks (like Spark Streaming, Storm, AWS Kinesis).-Proficiency in key-value stores such as : HBase / Cassandra, Redis, Riak and MongoDB-Experience with AWS EMR

    Надіслати заяву
    Додати до вподобаних
    Видалити з обраного
    Надіслати заяву
    Моя електронна адреса
    Натиснувши кнопку "Продовжити", я даю неофіційну згоду на обробку моїх даних та надсилання мені електронних сповіщень, як це описано в Політиці конфіденційності . Я можу відмовитися від моєї згоди або скасувати підписку в будь-який час.