Czym będziesz się zajmować? analyzing data structures and transformation needs across source and target systems,building efficient data migration workflows using ETL/ELT tools and scripting languages,mapping and converting data formats to ensure seamless integration between systems,extracting, cleaning, and validating data to uphold quality and consistency,working with data architects and business teams to clarify requirements and resolve issues,conducting trial migrations to detect and resolve potential problems early,monitoring data transfer processes to reduce downtime and avoid data loss,documenting technical procedures and data flow logic for future use and audits,ensuring data governance, privacy, and security standards are followed throughout,supporting post-migration checks and data reconciliation activities,improving performance of migration processes through script and query optimization,participating in project planning and reporting by highlighting progress and risks,managing source control and CI tools such as Git, Subversion, ClearCase, Jenkins, and SONAR,contributing to the design of robust, distributed, and scalable database solutions,leveraging experience in delivering global treasury trading platforms within complex environments.nr KRAZ: 8162

Kogo poszukujemy? hands-on experience with ETL/ELT tools for building and managing data workflows,strong command of SQL for querying, transforming, and validating data across databases,practical understanding of data migration techniques including full, incremental, and delta loads,ability to automate tasks and manipulate data using scripting languages like Python, Shell, or PowerShell,working knowledge of relational and NoSQL databases such as Oracle, PostgreSQL, SQL Server, MySQL, MongoDB, or Cassandra,familiarity with data modeling concepts and mapping schemas between systems,experience with cloud-based data platforms and architectures,applying data quality checks and validation methods to maintain integrity during migrations,using job scheduling and orchestration tools like Apache Airflow, Control-M, or Autosys,awareness of data compliance and governance standards such as GDPR or HIPAA,ability to tune and optimize performance for data loads and transformation processes,nice to have:building trust-based relationships with business stakeholders and technical teams,taking ownership of technical areas throughout the software development lifecycle,coordinating across projects or departments to ensure alignment and avoid delays,