Data Warehouse Developer @ ITDS
(práce v Polsku)

Data Warehouse Developer @ ITDS

Polsko

Youre ideal for this role if you have:

• Proven experience in developing ETL processes using any technology
• Strong knowledge of SQL in a Data Warehouse context
• Hands-on experience working in a Data Warehouse or enterprise data environment
• Understanding of data pipeline design and data integration concepts
• Familiarity with Microsoft Azure and Databricks
• Ability to analyze and troubleshoot performance issues in ETL jobs
• Good communication skills and the ability to work in a cross-functional team
• Experience working in an Agile or iterative development environment
• Strong attention to detail and quality mindset
• Ability to document technical solutions clearly and accurately
  

Shape the Future of Banking Data – Become a DWH Developer

Warsaw/ Wrocław based opportunity with hybrid work model (1 day in the office/week)

As a Data Warehouse Developer, you will be working for our client, a leading financial institution dedicated to digital transformation and data excellence. You will join the Data Warehouse team supporting both strategic initiatives and day-to-day development efforts. The project involves maintaining and enhancing a complex enterprise data platform used for business analysis, regulatory compliance, and operational reporting. You will play a key role in building efficient ETL processes and supporting scalable data solutions, contributing to long-term data architecture goals.

,[Develop and implement ETL processes based on business and technical requirements, Optimize existing data pipelines to improve performance and reliability, Test and validate technical solutions against data quality standards, Collaborate with analysts and developers to understand data flow and dependencies, Maintain technical documentation related to ETL jobs and data architecture, Support Business-as-Usual tasks and participate in ongoing project work, Ensure compliance with internal coding and security standards, Monitor and troubleshoot ETL jobs and provide issue resolution, Contribute to the continuous improvement of the Data Warehouse platform, Participate in team planning and development lifecycle activities] Requirements: SQL, Relational database, Data warehouse, Data modeling, Microsoft Azure, Databricks, ETL

Kategorie

data

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