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Data Engineers

Posted on Sep 24, 2021 by Hadron Finsys GmbH

Not Specified, Switzerland
IT
Immediate Start
Annual Salary
Contract/Project


Our client is located in Zürich, Switzerland and with immediate start they are looking for Data Engineers to join their teams. This is a contract position and can be remote, but only within Switzerland.

Key tasks

  • Responsible for creating and distributing ad-hoc reports across a wide range of solutions and in changing complexity levels that cater to varying business needs. We provide a standalone request & response service model as well as direct collaboration with data science teams to build up data solutions.
  • Data assurance & profiling in sourcing, maintain & monitor data quality during data curation & transformations:
  • Uphold high standards for timely ad-hoc report creation using SQL reporting tools
  • Advise and support internal clients, analyze incoming requests, generate ad-hoc reports, check the results and distribute data extracts on time
  • Collect and combine data from multiple sources, clarify data requirements, analyze for insights and produce requested information
  • Using Front End and Back End tools to analyze incoming requests and verify, document for efficient auditing
  • Data Engineering task such as building up data pipelines, retrieve and merge different data sources and models using Scripting languages
  • Hybrid Cloud Journey: Provide available data capabilities in cloud environment; journey to deliver cloud-based/state-of-the-art data platform
  • Knowledge of and in-depth interest to learn banking processes and associated data dependencies
  • Close collaboration with Data Scientists to prototype Advanced analytics solutions

Skills:

  • Knowledge of the inter-connections between banking products, processes and applications
  • 3+ years of experienced in SQL Scripting and knowledge in Scripting languages (eg R, Python, Java)
  • Strong analytical mindset
  • Knowledge of Microsoft Azure
  • Strong expertise in Data Warehouse structures
  • Proven experience in ETL: Data Sourcing, collecting, cleansing, transformation, preparation and data validation
  • Expertise and Knowledge of Data Pipelines and related Automation
  • Understanding of Big Data Analytics infrastructure (experience in Spark nice to have)
  • Consultancy and support into definition of datasets based on statistical knowledge
  • Expertise/understanding in IT Infrastructure Library (ITIL) approaches



Reference: 1332747025

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