Vacancies: Armenia

Big Data Engineer (Hadoop, StreamSets), Banking System

Position Overview

Our client is a British bank, one of the largest financial services companies in the world. The bank was founded three centuries ago, and today its assets are estimated to be worth trillions of US dollars.

DataArt's experts together with developers on the client's side are creating new banking apps and upgrading the old ones.

The Data Engineer will be a part of the data engineering community to deliver opportunities to support the organization’s strategic direction. The specialist will use Data Lake, Data Science, and Streaming technologies to help shape the data flow and architecture of large programs of work like Customer Due Diligence.

ABOUT DATAART

Required Skills and Experience

  • Strong knowledge of Big Data general concepts
  • Strong knowledge of Java/Scala or Python
  • Experience working with Hadoop Ecosystem (HDFS, Map-Reduce, Yarn, Hive)
  • Knowledge of NoSQL DB (any popular)
  • Understanding of Spark (Core, SQL, Streaming)
  • Strong Knowledge of Kafka
  • Experience with StreamSets
  • Spoken English

Nice to have

  • Knowledge of Informatica ETL
  • Knowledge of Cloudera
  • Experience with Public Clouds (AWS, Azure, Google, etc.)
  • DevOps skills
  • Experience troubleshooting production systems

Please send your CV and cover letter

We are committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of bias including age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion or belief, sex or sexual orientation. DataArt is committed to providing a working environment free from harassment and bullying and ensuring all staff are treated, and treat others, with dignity and respect. Our commitment to promoting equal opportunities and creating the workplace free of harassment and discrimination is supported by the implementation of respective policies and controls, provides an appropriate environment to encourage good performance and conduct at all its working locations, at all times.

Join Us

Why DataArt?

  • People first

    • Commitment to people is by far the highest value for DataArt
    • 99% of Glassdoor reviewers would recommend DataArt to a friend as a place to work
    • DataArt offers a rare work/life balance (Glassdoor work/life balance rating of 4.7)
    • DataArt invests in long-term relationships with its employees
  • Flexibility

    • Minimum bureaucracy
    • Flexible work schedule
    • Well-organized system of administrative services
    • Flat, decentralized structure
    • There are very few strict rules within DataArt
    • While our values do not change, rules and policies are subject to discussion and change in response to changing context and circumstances
  • Expertise

    • Highly qualified professionals
    • Supportive learning environment
  • Trust

    • We don't believe in control or surveillance
    • We avoid micromanagement
    • Clear, universal rules and policies
    • Open and accessible management
More About DataArt Values and Benefits

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