ETL Developer: Banking Data Warehousing & SQL

Sii

Polska

Remote

PLN 120,000 - 160,000

Full time

3 days ago
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Job summary

Sii in Poland is seeking an ETL Developer to join a data-focused banking project. You will work with ETL processes, data flows, and data warehouse solutions, using SQL to process and transform data. This role is ideal for someone with at least two years of commercial ETL experience who wants to deepen skills in the banking domain and data integration.

Fluency in English and Polish is expected. You will collaborate with the team to ensure data quality and reliable data processing across

Qualifications

  • At least 2 years of commercial ETL development experience.
  • Good practical knowledge of SQL.
  • Experience or understanding of ETL processes and data transformation.
  • Basic knowledge of data warehouse concepts.
  • Understanding of data processing and data integration.
  • Good command of English.
  • Fluent Polish.
  • Residency in Poland.

Responsibilities

  • Developing and maintaining ETL processes and data flows
  • Writing SQL queries for data extraction, transformation, and processing
  • Integrating data from different sources into the data warehouse
  • Transforming and preparing data according to defined requirements
  • Supporting and monitoring existing data processing solutions
  • Identifying and resolving issues related to data processing
  • Ensuring data quality, integrity, and consistency
  • Cooperating with other team members working on data solutions

Skills

SQL
Data integration
Data processing
English
Polish

Tools

Teradata

Job description

Sii in Poland is seeking an ETL Developer to join a data-focused banking project. You will work with ETL processes, data flows, and data warehouse solutions, using SQL to process and transform data. This role is ideal for someone with at least two years of commercial ETL experience who wants to deepen skills in the banking domain and data integration.

Fluency in English and Polish is expected. You will collaborate with the team to ensure data quality and reliable data processing across

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