We are looking for a Full Stack Developer - Databricks with at least 3 years of experience in developing data processing and analytics solutions.

The adecuado candidate will have strong expertise in Python and Databricks, as well as experience working with large-scale data environments, database management, and data transformation processes.

Qualifications

Mandatory Requirements
- Minimum 3 years of hands-on experience with Python and Databricks.
- Strong knowledge of Python development.
- Experience with Databricks for data processing and analytics solutions.
- Knowledge of Artificial Intelligence applied to data processing and data exploitation.
- Experience managing relational databases, particularly Oracle Exadata.
- Experience working with non-relational databases based on S3.
- Strong experience in the design and optimization of data consolidation and transformation processes for large volumes of information.
- Advanced knowledge of PL/SQL.
- Experience with Control-M for batch process scheduling and automation.




- Experience generating reporting and indicators for data exploitation.

Desired Skills
- Intermediate knowledge of Angular.
- Ability to design scalable solutions.
- Experience working in cloud environments.
- Ability to collaborate with both business and technology teams to transform data into valuable insights.

Additional Information

What do we offer you?
- B2B or freelancecontract
- Remote within Spain Time zone.
- Possibility to be part of a multicultural team and work on international projects.

Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).

Company Description

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultantsin 21 countriesand a turnover of €850M, we a

📌 Data Developer (Buenos Aires)
🏢 Talan Group
📍 Buenos Aires