ETL Engineer - Enterprise Data Lake

Mid-level • Full-time • Remote in Cluj-Napoca
HDINT004
71
Remote

Job Summary

Our partner is a global technology hub providing services for tens of partner's units worldwide. Their services are grouped into software development, data management, non-financial risk & compliance, audit categories. Their fast-growing organization gathers high-performing engineers and non-financial risk & compliance specialists that work together in global tribes.

The mission

As part of the development towards a “Next Generation Digital Banking Platform”, our partner's Services is building a state-of-the-art Data Lake. An ambitious project based on technologies like IBM InfoSphere (DataStage and Information Governance Catalogue), Linux, Cognos, and Oracle. Enterprise Data Lake has the ambition to become the single interface for extracting data from all domains in one single format.

As Dev Engineer you will be working in a scrum team consisting of a product owner, Ops Engineers and Dev Engineers. The members of the Tribe are in The Netherlands, India, and Romania.

You will be responsible for designing, developing, testing, and deploying IBM Information Server artefacts, mainly involving DataStage. Maintaining the applications running in their Data Lake including incident management and bug fixing is also part of your job.

They seek enthusiastic ETL engineers with a passion for data, knowledge and experience in data management!

Your day to day

  • Development of ETL flows using IBM Datastage 11.7 / Oracle DB
  • Understand the Logical Data Model and Physical Data Model
  • Understand the concepts and the business value of the data that is processed
  • Integrate data from different source systems in the Information Warehouse
  • Build Data Marts in alignment with the business needs
  • Perform tests and validate all data flows and prepare all ETL processes according to business requirements
  • Contribute to the deployment of code changes, mappings and metadata

They are looking for someone with:

  • Experience with ETL processes and tools
  • Experience with Data Warehouse concepts
  • Good knowledge of SQL and database concepts
  • Experience with Linux operating system
  • Experience with Business Intelligence tools
  • A wiliness to learn and experiment with new technologies
  • Proficient in English (verbal and writing)
  • Enthusiastic personality, enjoying working in a multi-cultural environment

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