Datawarehouse SQL developer (junior/senior)

We are the leading technology recruitment and selection consultancy in Romania, working on highly specialized technologies for permanent and interim positions. Since our inception in 2001 as the first specialized IT recruitment agency in Romania we supported over 400 national and global clients in acquiring strategic IT talent for their business.

We are deeply passionate about technology and highly responsible about our work. We understand the pressure of the business and the fact that you need fast and quality results. Therefore we always go for the extra mile to deliver the best IT&C talent for your business, no matter how challenging the project may seem.

Desired Skills & Experience minimum requirements:

- For juniors: 1-2 years' experience as a SQL developer specialized on Oracle Database
- For seniors : 3-5 years' experience as a SQL developer specialized on Oracle Database and IBM Datastage product


Technical Skills:

- LINUX environment
- Strong technical competencies using SQL/ IBM Datastage.
- Database : Oracle (Toplink/ JPA-Hibernate), MongoDB
- SQL, PL/SQL
- UML(design pattern)

Duties and Responsibilities:

- SSIS Data warehouse design, including build, migration and ETL Configure ETL processes, data mappings & transformations to orchestrate data integrations.
- Use and support database applications and tools for extraction, transformation and analysis of raw data.
- Ability to understand business processes, data entities, data producers, and data dependencies.
- Develop, manage, and validate existing data models including logical and physical models of the data warehouse and source systems.
- Designing and developing exception handling and data cleansing / standardization procedures.
- Evaluate and improve data quality throughout source systems by implementing data quality safeguards.
- Determine the quality and integrity of data required to meet business needs and work towards resolving the most critical data quality issues.
- Evaluate and improve data quality throughout source systems by implementing data quality safeguards.
- Understanding of corporate systems, data environments and reporting tools.