Big Data Spark Developer

Babel, the great way to achieve the success.

Do you want to be part of an expanding, committed, and innovative team that makes history every day? At Babel, we accompany you on your path to success. We believe in the talent of people and we want to empower it by offering you a great working environment based on collaboration and solidarity.

Working at Babel is much more than working at a company; it is joining a team of people with a shared mission and a company model centered on values.

And we do this by promoting diversity, equity, and inclusion, guaranteeing equal opportunities to all candidates, in an environment free of any type of discrimination.

Additionally,

• We bet on work-life flexibility. (Point-based vacation system, remote work, and flexibility).

• We invest in the training of our Babelievers.

• We invest in your physical and emotional health. (Private Medical Insurance/ Life insurance, personal trainer, and wellbeing program).

• We also invest in your free time (Nature activities, sports championships, streaming platform subscription (e.g., Netflix))

• We participate in the growth of the company and recognize the participation of each person (Benefits Bonus).

• We focus on working with the latest technologies and innovative projects, but above all, we accompany digital transformation and bring technology closer to society.

Do you accept the challenge? We are waiting for you!

We look toward the future! Our Hyperspace 2029 strategic plan promises to be an exciting journey, full of opportunities to grow and develop professionally. Reaching 1 billion in revenue, a challenge that we are sure that with the collaboration and talent of our people, will be another success story that we will write together.

We are looking for a Big Data Spark Developer to join data processing and transformation projects, working with Big Data technologies and Spark environments. We are looking for a person with strong technical foundations, analytical capacity, and a desire to grow in modern data environments.

• Develop data transformation and exploitation processes using Spark and SQL.
• Analyze functional requirements and collaborate with the team on the design of solutions.
• Participate in the development and maintenance of data pipelines.
• Work with code repositories and collaborative processes using Git.
• Collaborate with multidisciplinary teams in agile and international environments.