Data Integration Developer

Vor Ort
Long Term
DigiTech IS Ltd
flag_no Österreich

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Role: Data Integration Developer

Duration: 1 Year +

Location: Vienna, Austria


Highly skilled Data Integration Software Engineer with a strong conceptual background in building synchronization/data migration projects. This person will be responsible for building and maintaining internal and external services and applications under the direction of our client. This person will work with a team of experienced analysts, developers and business resources to build highly-performing enterprise systems.

Requirements - Data Integration Software Engineer shall carry out the following tasks:

  • Architecture, design and implementation of data integration and replication systems, synchronization frameworks capable of handling high load
  • Implementation, optimization, troubleshooting, and tuning ETL processes

Technical expertise

  • Solid knowledge of relational and hierarchical databases, distributed/parallel data processing, and peer-to-peer synchronization
  • 5 years of SQL Scripting experience
  • Solid knowledge of ETL processing concepts, know-how in query optimization, experience with ETL solutions
  • 3 years of experience with any OO programming language (C#, Java, C++)
  • Good knowledge of concepts of modern, as well as Mainframe operating systems, experience with programming for z/OS is an advantage
  • Knowledge of Change Data Capture, Data Replication is an advantage
  • Experience with Adabas database management system and/or Attunity Connect system is an advantage

Personal qualifications

  • Exceptional analytical skills
  • Strong learning capabilities, ability to master new languages and technologies in a short time
  • Ability to perform independent research of effective solutions (learning new technologies, prototyping, evaluation)


  • Apply industry best practices for ETL design and development
  • Support design, development and implementation of end-to-end complex ETL system
  • Implement ETL systems that are operationally stable, efficient and automated
  • Work with DBAs, application specialists and technical team to tune performance of the system to meet performance standards and SLAs
  • Troubleshoot, optimize, and tune ETL processes.