7065-68 - Senior Data Analyst - Client Analytics / Python (7065)

Zürich  ‐ Vor Ort
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Beschreibung


For a project at our client ‘s site, an international bank based in Zurich, we are looking for a


Senior Data Analyst - Client Analytics / Python

In this challenging role, you will need a deep understanding of the diverse data sources, platform, and coding aspects as well as problem-solving. Data from very different systems and processes on a global scale are integrated into a single product. 



Please be aware that this is a role within a sensitive environment. You'll have to undergo a background screening, which takes some additional time! We, therefore, prefer local candidates.



Your Qualifications:


  • Several years' experience as a Data Analyst / Data Engineer, within the banking industry 

  • Strong knowledge of Python and working experience in an agile environment

  • Working experience with Data Models and Database design as well as experience with Data Discovery and Data Cleaning on new data including Extract, Transform and Load (ETL)

  • Familiar with PySpark or other distributed computing tools such as Cloudera and HDFS is an advantage

  • Knowledge of Foundry / Palantir tools, as well as Java and SQL, is a plus

  • Reliable and committed team player with a positive, can-do attitude and independent work style

  • Excellent communication and stakeholder management skills

  • Fluent in English 



Your Responsibilities:


  • Responsible for the implementation of data pipelines, pipeline refactoring and optimization as well as pipeline logging

  • Daily batch run implementation

  • Generating derived data feeds

  • Unit, integration and regression testing

  • Providing documentation of design, functionalities, and tests

  • Responsible for the design and management of data models and ontologies

  • Collaboration with business to generate new reports and insights



Off to new destinations! Apply now directly on or contact our team on .


Start
08.2020
Dauer
6 Monate
Von
iET SA
Eingestellt
05.08.2020
Ansprechpartner:
Senior Recruiter
Projekt-ID:
1953789
Vertragsart
Freiberuflich
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