The Data Engine and Mapping team is responsible for replicating and migrating collateral data from the various collateral legacy solutions to one big system. This entails the data analysis and data mapping of the legacy data to the NCS data model, development and testing of replication/migration engines for the collateral data, data verification of replicated data, driving and orchestrating the business verification and close cooperation with our stakeholders before we secure the final migration of the data to the new solution.
Industry: banking
Location: Warsaw / Gdańsk / Łódź (hybrid: 1/2 days a week from the office)
Rate: up to 145 PLN/h
Start: ASAP
Long-term cooperation - > 12 months
responsibilities :
Working within a cross functional agile scrum team.
Focusing on preparing data migration within ETL process.
Continuously working on quality assurance within migrated data.
Preparing functional and non-functional requirements.
Analysing and interpreting data from various sources as part of requirement analysis.
Documenting analysis/data mapping rules and ensuring approval from relevant process/solution forums.
Ensuring alignment and transparency of requirements by acting as a bridge between IT and business teams.
Taking a leading or facilitating role when multiple roles are needed to solve a problem.
Supporting data releases into new platform.
requirements-expected :
Few years of experience as IT Analyst.
Experience in Data Mapping and/or Business Process Modelling.
Experience in data warehousing, data migration from legacy systems or data integration.
Knowledge of ETL process & data integration tools (DataStage, Informatica, etc.).
SQL / DB background.
Familiarity with any RDBMS tools, preferably Oracle.
Ability to write technical documentation and diagram workflows.
Experience in understanding business requirements and translating into technical implementations.
Communication with stakeholders to understand their requirements.
Fluency in English.
offered :
Challenging international projects in Scandinavian business culture.
Transparently built relations based on trust and fair play.
