ETL (Extract Transform Load) Developer - Θέσεις εργασίας Κύπρος

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ETL (Extract Transform Load) Developer

Hellenic Bank Public Company Limited, one of the leading Financial Institutions in Cyprus, is seeking to recruit an ETL (Extract Transform Load) Developer at Enterprise Datawarehouse to maintain the existing data warehouse processes and in parallel implement new ETL processes for additional information areas, as well as work closely with functional owners to understand key data requirements from the business perspective. The successful candidate will require to have an in-depth knowledge of different data warehouse technologies, data modelling and ETL development.

Main Responsibilities
Design, develop, test, execute and document ETL pipelines spanning multiple databases and technologies

Maintain and improve the existing Data Warehouse processes

Apply data quality and profiling rules through the ETL process

Work with the business in designing and delivering high quality data

Troubleshoot data issues and defects to determine root cause. Investigate data to identify potential issues within the ETL pipelines and propose solutions

Prepare data models in accordance with reporting layer requirements

Extract data from the data warehouse to support regulatory commitments

Engage with teams across the bank (such as Business intelligence, Data Analytics Data Management) to support and contribute in related business initiatives

Stay up to date with market trends and competitive insights and share them within the team



Information
All applications will be reviewed and assessed and only the shortlisted candidates will be contacted for an interview.

Applicants who have submitted an application to Hellenic Bank in the past and meet the requirements of the above position must fill a new application.

Deadline for submitting applications: 25th of February 2020

All applications will be handled in strict confidence.

For additional information, please contact the Recruitment Team on the following telephone number: 22500005.


Candidate Profile
Undergraduate degree in Computer Science or in a related field

Postgraduate degree in Computer Science or in a related field will be considered an advantage

At least 2 years of professional experience in data engineering mainly focused on Data Warehouse - ETL solutions with industry standard ETL/ELT Tools like SAS Data Integration, Informatica, IBM DataStage

Knowledge and/or experience in the Banking Industry will be considered an advantage

Sound SQL knowledge (query performance tuning, index maintenance) using Teradata/Oracle/MS SQL or similar RDBMS technologies

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Knowledge of version control systems e.g. Microsoft TFS

Knowledge of the following areas will be considered an advantage:
- Data Modelling methodologies like Kimball, Inmon
- Work experience with ERWIN Data Modeler or another related tool for Data Modelling purposes
- Knowledge of Business Intelligence Tools like SAS Enterprise Guide/VA, Tableau, Microsoft Power BI, MS SQL Analysis Services
- Project Management experience in small to medium projects (experience of project development cycles e.g. waterfall, agile)
- Cloud experience (Microsoft Azure) and scripting skills in Python
- Demonstrated interest in current and potential industry changes, developments and trends (e.g. Big Data, AI)

Analytical mind and problem-solving aptitude

Ability to perform well in a fast-paced environment

Attentive to detail, methodological and diligent

Customer service orientation - a team player with strong inter-personal and negotiation skills – positive attitude and willingness to own solutions

Excellent verbal and written communication skills with the ability to interact on a technical and non-technical level

Fluency in Greek an English, both verbal and written