ETL Developer (IBM Data Stage)

At Evolve today we offer complex Human Resources services, from business consulting to headhunting and recruitment. We have extensive experience in finding talented professionals, for a variety of industries, especially in the IT sector.
We started with a dream: to create a Human Resources company with a strong, unique profile on the market, deeply shaped by our core values: commitment to performance, professionalism, a balanced approach and deep satisfaction for our clients.
From that moment, we nurtured special relationships and we continuously evolved, being flexible, but staying true to our values. We aim higher and higher and we invite you to EVOLVE with us!

In this role, you will be responsible for the design, development and implementing ETL solutions that ensure integration data efficiency and supporting Business Intelligence initiatives.

Requirements:

At least 5+ years of experience developing and implementing ETL solutions using IBM DataStage.
Experience developing and optimizing ETL flows for integration and transformation
the data.
Advanced skills in using IBM DataStage to create and manage ETL flows.
Experience using SQL for data manipulation and optimization.
Advanced knowledge of architecture and data flows in an ETL environment.
Experience to handle data structures
Organizational abilities that include time management and planning
Ability to pay close attention to detail
Experience to handle data structures
Bachelor’s degree in computer science, information technology, or a related field.

Responsibilities:

Create, develop and maintain ETL flows using IBM DataStage for integration
and the transformation of data from multiple sources.
Implementation of ETL solutions to ensure optimal performance and integration of high volume data.
Optimizing the performance of ETL processes to reduce processing times and improve efficiency.
Configure and monitor data replication and integration flows to ensure
their consistency and accuracy.
Collaborating with Business Intelligence and Data Warehouse teams to understand
requirements and develop ETL solutions to meet them.
Providing technical support and resolving issues related to ETL processes.
Maintaining and correcting ETL code and ensuring compliance with development best practices and standards.
Create and maintain detailed technical documentation for ETL processes and data architecture.
Reporting progress and issues encountered in developing and implementing ETL solutions.