Data Engineer | Datastage

Data Engineer | Datastage

Since more than 20 years, the Groupe Talan advises companies and administrations and accompanies them in the implementation of their transformation projects in Luxembourg and abroad.

With a presence on five continents and more than 5,000 employees, we are involved in fields related to the technological changes of large groups, such as Artificial Intelligence, Cloud, Big Data, IoT, Blockchain.

Talan Luxembourg: We are a team of 160 employees divided into 4 expertise poles: Data Technologies, Cloud & Application Services, Cybersecurity & Infrastructure and Consulting.

Each consultant is followed by a team leader who exercises the same profession to best accompany them in their career project. We are committed to evolving everyone's skills through training and organize team events throughout the year to cultivate a sense of belonging.

Benefit from a workplace adapted to your situation thanks to our 3 offices in Luxembourg Gare, Bertrange and Emerange.

Post Description

Your tasks:

• Design, develop and maintain ETL pipelines, ensuring data integration
• Collaborate closely with business teams to understand data requirements and design solutions that meet operational and regulatory needs
• Optimize the performance of ETL processes by identifying and resolving bottlenecks, ensuring the availability and quality of data
• Participate actively in data modeling and the design of schemas to ensure the integrity and consistency of data across systems

Qualifications

Your profile:

• Proven experience in developing ETL solutions using IBM DataStage, with a deep understanding of data transformation concepts
• Mastery of SQL queries for data extraction, transformation, and loading (ETL), as well as for analysis and reporting
• Expertise in PL/SQL for developing and maintaining stored procedures, functions, and triggers, ensuring efficient database data management
• Strong skills in relational data modeling and database design, with practical experience in performance optimization and normalization
• Demonstrated ability to work in a team and collaborate with business stakeholders to understand needs and provide tailored solutions
• Aptitude to work in a regulated environment, with particular sensitivity to data confidentiality and security