Big Data Developer

Employer: Vauban becomes Inetum
Domain:
  • Others
  • Banks - Financial Institutions
  • IT Software
  • Job type: full-time
    Job level: 1 - 5 years of experience
    Location:
  • BUCHAREST
  • Updated at: 13.04.2021
    Short company description

    Inetum is an agile IT services company that provides digital services and solutions and a global group that helps companies and institutions to get the most out of digital flow.

    Vauban, the Romanian division of Inetum, is an important player in the IT services and solutions market in our country, with over 13 years of activity. Vauban has over 450 employees who provide, from the service centers in Bucharest, Pitesti and Constanta, IT consulting services, infrastructure and software development services, digital services, solutions for Smart City.

    Requirements

    Good experience / exposure of working in financial industry
    Experience with Big Data and Hadoop Ecosystem: Spark (Spark SQL, Dataframes, PySpark), HDFS, Hive, YARN, Kerberos
    Good knowledge of working with Databases (eg. SQL, Oracle, Hive, Impala) and versed in working with different data file types
    Good knowledge of Unix/Linux environments
    Basic knowledge of Python
    Being able to understand functions from pyspark.sql library, pyspark joins
    Experienced using Control-M Workload Automation tool
    Awareness/information about DevOps practices like CI/CD
    Be familiar with version control systems: GIT
    Hands on knowledge of Shell Scripting
    Be familiar with Atlassian Stack: JIRA, Confluence, Bitbucket
    At-least 5 years of experience of working with reporting tools
    Have an aptitude for data mining, analytical in the approach to tasks, and have a business focus
    Bachelor Degree from an accredited college or university with a concentration in Computer Science or IT-related discipline (or equivalent work
    experience/diploma/certification)
    Educational background and understand statistical modelling and can apply modelling techniques to analyze data.

    Responsibilities

    Create Data Storage Applications effectively within the organization (analytical processing), as well as maintaining data analytics platforms so that data can effectively be mined for information later
    Conduct Unit Tests and develop database queries to analyze the effects and troubleshoot any issues that arise
    Improve Systems. Evaluate and improve existing systems that are in place as well as collaborate with teams within the business to integrate these new systems to streamline workflow and company processes
    Develop Technical Documentation. Create reports based on completed projects, develop and update technical documentation for senior members of staff and colleagues within the department to serve as a reference guide
    Actively support the business strategy, plan and value, contributing to the achievement of a high performance culture
    Take ownership for own career management, seeking opportunities for continuous development of personal capability and improved performance contribution.
    Act as a role model for new employees, providing help and support to facilitate early integration and assimilation of their new environment.

    Other info

    Undetermined period of contract
    Career plan (professional, academic, and financial)
    Medical insurance
    Official training's and certifications
    Lunch tickets
    Yearly professional evaluation
    Professional and friendly working environment