Talend Lisbon Resource

Talend Lisbon Resource

Requirements: 

    blue-infinity linked by Isobar (part of Dentsu Aegis Network) is currently hiring Data Management Developer / Business Intelligence with at least 5-7 years’ experience in ETL perform (Extract, Transform, and Load) processes and Talend development.

    - 5+ years of experience in ETL solutions, Talend is a plus;
    - 5+ years hands on experience in RDBMS;
    - Experience in SQL, Java, XML is recommended;
    - Experience with a variety of data feed types, including RSS, SOAP, and REST;
    - Strong analytical skills;
    - Ability to work in a team environment;
    - Must possess strong presentation skills;
    - Ability to meet deadlines under strict timeframes;
    - Strong customer service skills;
    - Ability to handle multiple tasks and work under pressure;
    - Excellent written and verbal communication skills are required, including the ability to work with executive and technical personnel;
    - Knowledge of Agile methodology, ITIL;
    - Knowledge of Dama.org (Data Management framework);
    - Experience in Business Intelligence solutions such as Tableau Software, Microsoft PowerBI or Salesforce Waves is strongly recommended;
    - Experience with Health Data Sources; Experience with Indicators, Metrics, KPIs is a plus.

    Additional notes
    - Training on Talend and Tableau may be provided;
    - Induction session on Dama.org Data management framework, and Data Management processes and procedures will be provided.  



    Responsabilities

    The candidate’s core responsibilities will include:

    - Responsible for the development, test, troubleshoot, change, update, and maintenance of ETL Job and scripts that support Data Management activities for company Projects and Operations.

    - This responsibility should be done, leveraging Talend Solution (ETL Cloud based solution acquired by the company) combined with a thorough knowledge of data modeling, ETL, SQL scripting, and analytical expertise to extract, Transform, and Load a wide variety of structured, un–structured, and semi–structured data from various heterogeneous Data sources/Applications to Enterprise data Warehouse and/or Business Applications.


Ref: 
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